Datasets:

librarian-bots

/

model_cards_with_metadata

like 7

HydroniX/veigar

HydroniX

--- license: openrail ---

edthrth/Heinous-killers-banned-from-marrying-in-prison-bf-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 Source : https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e Flash News : https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 Biden last Talk : https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c Russian Ukrain Breaking News : https://groups.google.com/g/retro-comp/c/WWrL9nTMWaw Other Sources : https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 https://groups.google.com/g/retro-comp/c/mJTx97r3Chc https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://groups.google.com/g/retro-comp/c/zIVQ4eqfZIk https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://groups.google.com/g/retro-comp/c/nEeLyNDdOAs Government enacts new law to end torment for victims and their families Prisoners serving whole life orders - which means they will never be released - will now be automatically blocked from getting married or entering a civil partnership after the new Lord Chancellor signed a measure in the Victims and Prisoners Act into law. This will deny the most heinous criminals from enjoying the important life events they callously took from their victims, while preventing families from the trauma of seeing them getting married or entering civil partnerships. It will also ensure that their horrific crimes are treated with the severity they deserve and maintain confidence in the justice system. Lord Chancellor and Justice Secretary, Shabana Mahmood, said: Victims should not be tormented by seeing those who commit the most depraved crimes enjoy the moments in life that were stolen from their loved ones. That is why I have acted as soon as possible to stop these marriages and give victims the support they deserve. Prior to these new laws coming into force, these prisoners could make a formal application for marriage or a civil partnership and could only be refused by a prison Governor on the grounds of security concerns. The measure is part of the Victims and Prisoners Act which strengthens oversight of how criminal justice agencies treat victims and enshrines the principles of the Victims' Code into law. The Lord Chancellor will retain the right to permit ceremonies in the most exceptional circumstances. Whole life orders are reserved for exceptionally serious offences, such as serial or child murders which involved a substantial degree of premeditation or sexual or sadistic conduct. The prisoner marriage provisions of the Victims and Prisoners Act were commenced via a statutory instrument.....

stash/llava-v1.5-13b-task-lora-TEST-20240802_223711

stash

peft

--- base_model: liuhaotian/llava-v1.5-7b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

ffgn/SmolLM-135M_WikiMediaPT_AlpacaGPT4PT-GGFU

ffgn

transformers

Invalid username or password.

edthrth/Patients-face-months-of-misery-as-GPs-vote-for-industrial-action-3d-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 Source : https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 Flash News : https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 Biden last Talk : https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a Other Sources : https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 Patients face months of misery after GPs yesterday launched industrial action that will see some slash available appointments by half. The British Medical Association (BMA) said more than 8,500 family doctors responded to a ballot, with 98.3 per cent in favour of action in a row about funding. In a move that will means potential health risks for vast swathes of the population, the militant union, which also represents striking junior doctors, is threatening to bring the NHS to a 'standstill' with a catalogue of crippling measures deployed as a 'slow burn'. Health Secretary Wes Streeting warned the unprecedented development will 'punish' the public, while experts said the impact is likely to be 'catastrophic'. As part of the action, the BMA will encourage surgeries to choose from a list of ten actions, with practices able to choose how many they implement and when. These include GPs limiting the number of patients they see each day to 25 and choosing to not perform work they are not formally contracted to do. Other measures include refusing to share patient data unless it is in the best interest of the patient. More than 8,500 family doctors in England took part in the British Medical Association (BMA) ballot, with 98.3 per cent backing the disruption. The health service has called on the public to still come forward as usual for GP care, despite the collective action. Health secretary Wes Streeting (pictured) has also urged GPs not to punish patients It means from today, BMA GPs will be able to choose from a list of 10 industrial actions, such as capping employments with family doctors able to choose to implement as many as they want. Earlier this week, Dr Katie Bramall-Stainer (pictured), chairman of the BMA's GP committee said the action aimed to 'bring the NHS to a standstill very quickly' It is expected to be the most significant collective action by family doctors in 60 years (file photo) Practices could also potentially ignore 'rationing' restrictions by 'prescribing whatever is in the patient's best interest'. It is expected to be the most significant collective action by family doctors in 60 years, having been backed by two in three of the BMA's GPs. What are the 10 forms of protest backed by the BMA? Limiting daily patients to 25 - around a third fewer than normalStop engaging with the e-referral and guidance service, which allows one GP to seek advice from another clinicianServe notice on any voluntary services currently undertaken that plug local commissioning gapsSwitching off NHS software that allows discounted or free prescriptions for some peopleReferring patients directly to specialist care rather than following more complex NHS processesRefusing to share patient data unless it is in the best interests of a patientWithdraw permission for data sharing agreements that use data for secondary purposesFreeze sign-up to any new data sharing agreements or local system data sharing platforms Defer making any decisions to accept NHS pilot programmes Switching off GP software that allows coding into the GP clinical record by third-party providers Advertisement As many as three million GP appointments a month could disappear if all family doctors kowtow to the BMA demands to slash numbers to just 25 a day. While the daily average is 37, some doctors currently do 50. Health leaders say this will heap additional pressure on pharmacies and A&Es, which are already buckling under pressure. Mr Streeting said: 'I can understand why GPs wanted to punish the previous government. But taking collective action will only punish patients. 'I want to reset the relationship between GPs and their government.' Louise Ansari, chief executive of Healthwatch England, said: 'Without proactive communications to patients, the work-to-rule action could exacerbate access problems or even deter people from seeking help altogether if they are unsure whether their surgery is still open to patients.' Dr Katie Bramall-Stainer, chair of BMA's GP committee for England, said the action - which started immediately after the ballot result was announced - will be a 'slow burn' rather than a 'big bang', adding: 'GPs are at the end of their tether. This is an act of desperation. 'For too long, we've been unable to provide the care we want to. We are witnessing general practice being broken. 'The era of the family doctor has been wiped out by recent consecutive governments and our patients are suffering as a result.' Earlier this week, she said the action could bring the health service to a 'standstill very quickly' but said the action was aimed at NHS England and the Department of Health and Social Care. It has been designed to be 'easy, sustainable and effective' because it could last 'week on week on week, month on month on month', Dr Bramall-Stainer added. The BMA said the new GP contract, which will see services given a 1.9 per cent funding increase for 2024\/25, means many surgeries will struggle to stay financially viable. But patients' groups branded the plans 'selfish' and said GPs risk losing the support of the public. Your browser does not support iframes. It comes as the Government today announced it had added GPs to the additional roles reimbursement scheme (ARRS), in the hope practices will be able to hire 1,000 more doctors this year. Pictured, health secretary Wes Streeting during a visit to Abbey Road Surgery in North London earlier this month, where he pledged to 'fix the front door to the NHS' and divert billions of pounds from hospitals to GP surgeries GPs have not staged collective action since 1964 when family doctors handed in undated resignations to Harold Wilson's Labour government. But the BMA has led recent walkouts by junior doctors (pictured) and consultants, hampering efforts to clear waiting lists that built-up during the pandemic GP partners, who own their practices and account for the majority of family doctors, earn an average of £153,400 a year - despite only one in three working full-time. Furthermore, official figures from NHS Digital show GP partners have seen their earnings - taken from practice profits - increase by 31 per cent in recent years. NHS England said the collective action will last an 'indefinite' period of time but practices are still required to open between 8am to 6.30pm Monday to Friday. Health chiefs recommend patients use 111 for urgent medical help when their GP practice is unavailable and if it is a serious or life-threatening emergency to call 999. Professor Kamila Hawthorne, chairwoman of the Royal College of GPs said: 'There are many aspects of what GPs provide that go well beyond the contractual requirements they are under, and this additional workload and the goodwill of the GPs delivering it, have been taken for granted for too long.'....

HydroniX/icardi

HydroniX

--- license: openrail ---

triplewhale/gemma-2-2b-it-txt2sql-0802-bnb-16bit

triplewhale

transformers

text-generation

--- base_model: unsloth/gemma-2-2b-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - gemma2 - trl --- # Uploaded model - **Developed by:** triplewhale - **License:** apache-2.0 - **Finetuned from model :** unsloth/gemma-2-2b-bnb-4bit This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

Legalaz/07-Mde102417

Legalaz

Entry not found

edthrth/A-New-Lease-Of-Life-For-Campers-In-Kaipara-hh-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Source : https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 Flash News : https://storymaps.arcgis.com/stories/14aadb9d3a3246cc8c605a3a5830b0d4 Biden last Talk : https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac Russian Ukrain Breaking News : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Other Sources : https://huggingface.co/edthrth/Women-should-have-informed-choice-on-having-labour-induced-at-39-weeks-Rotunda-doctor-fh-updated https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce Kaipara District Council has secured new managers for Glinks Gully and Kellys Bay campgrounds ahead of the next summer season. Kaipara District Council has secured new managers for Glinks Gully and Kellys Bay campgrounds ahead of the next summer season. Camping enthusiasts will soon be able to book a coveted spot at either of the two west coast campgrounds - Glinks Gully, situated along the beautiful and expansive Ripiro Beach overlooking the bay, and Kellys Bay, located beachfront part way down Pouto Peninsula, a calm oasis with rural charm opening into Kaipara Harbour. Following a competitive process, which saw significant interest from all over New Zealand, Council awarded management leases for the campgrounds to the New Zealand Motor Caravan Association (NZMCA). Under the new lease, both campgrounds will be available for public bookings at least 16 weeks of every year, with NZMCA promising more spots where possible. During the expressions of interest process, Council offered use of the campgrounds to freedom campers over summer and recent months, so that people were able to make the most of the sites. With the new lease agreement in place, freedom camping at the Glinks Gully and Kellys Bay sites will no longer be available. Hayley Worthington, Kaipara District Council General Manager for Strategic Improvement said she is thrilled to have NZMCA take on the iconic campgrounds. "NZMCA has a great track record of campground management around Aotearoa and has proven it balances access to its members and the wider public to ensure everyone benefits. A great example of this is that NZMCA has committed to share net profits from Kellys Bay with the Kellys Bay Improvement Society." "Their commitment to upgrading and maintaining Glinks Gully and Kellys Bay also aligns with our vision for exceptional camping experiences here in Kaipara, making it the place to be! We look forward to welcoming more visitors to our beautiful district this summer." NZMCA expects to have both campgrounds operating by Labour weekend, once they have completed a number of upgrades to both campgrounds at their own cost. Bookings and other enquiries around campground operation should be made directly to NZMCA.....

Timi2/whisper-medium

Timi2

Entry not found

edthrth/Serial-killer-Levi-Bellfield-blocked-from-having-civil-partnership-ef-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f Source : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 Flash News : https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d Biden last Talk : https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c Other Sources : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://huggingface.co/edthrth/Congressman-LaHood-says-killing-of-Hamas-leader-in-Iran-is-justified-bf-updated https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://groups.google.com/g/chromium-reviews-en-es/c/5Y_G4Aa3KbM https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 New law comes into force stopping most serious offenders getting married or entering into civil partnerships behind bars The serial killer Levi Bellfield has been blocked from having a civil partnership, after a new law came into force stopping the most serious offenders getting married behind bars. Bellfield is serving two whole-life orders for killing Milly Dowler, Marsha McDonnell and Amélie Delagrange, as well as the attempted murder of Kate Sheedy. It is understood he had recently submitted an application for a civil partnership, which is believed to have spurred the government on to bring the previously announced restriction in from Friday. Previously, Bellfield had applied to marry his girlfriend and sought legal aid to challenge a decision to block his marriage. It was reported at the time by the Sun that he had been granted up to £30,000 in legal aid after his lawyers cited the European convention on human rights and the 1983 Marriage Act. It is understood he withdrew his application to get married but had submitted a new application for a civil partnership in recent months. The new law, which is part of the Victims and Prisoners Act, aims to "deny the most heinous criminals from enjoying the important life events they callously took from their victims\....

Krabat/Qwen-Qwen1.5-7B-1722638584

Krabat

peft

--- base_model: Qwen/Qwen1.5-7B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

RobertML/edge-lithium

RobertML

diffusers

text-to-image

Entry not found

ajrayman/PuritySanctity_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: PuritySanctity_continuous results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # PuritySanctity_continuous This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0364 - Rmse: 0.1908 - Mae: 0.1520 - Corr: 0.3664 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | No log | 1.0 | 246 | 0.0379 | 0.1946 | 0.1573 | 0.3419 | | No log | 2.0 | 492 | 0.0364 | 0.1908 | 0.1520 | 0.3664 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

Krabat/google-gemma-2b-1722638808

Krabat

peft

--- base_model: google/gemma-2b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/Seven-simple-diet-rules-that-every-40something-should-follow-cc-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 Source : https://groups.google.com/g/retro-comp/c/jUT1hEFXusY Flash News : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Biden last Talk : https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 Other Sources : https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://huggingface.co/edthrth/Loving-and-caring-woman-found-dead-in-flat-by-friend-e2-updated https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://huggingface.co/edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-42-updated https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 However, Southern adds: "What we eat in midlife should be about building our future health, and our 40s are the perfect time to make changes." Here's our guide to what to eat in your 40s to maximise your chances of remaining well into old age. Rushing to get children to school and make it to work on time can make it tempting to grab a quick pastry or slice of white toast for breakfast, but this sets us up for a cycle of crashing blood sugar a couple of hours later, followed by a craving for something equally sugary or refined carb-heavy. Not only is this bad for our waistlines and energy levels, if these spikes happen too often, they can lead to insulin resistance and cause obesity, Type 2 diabetes, heart disease and accelerated ageing. Eliminating sugar from breakfast and replacing it with protein and healthy fats will stabilise energy levels and make it far easier to resist unhealthy snacks. "Something like eggs and avocado on toast, or yogurt and berries, are good choices," says Southern. Healthy protein from these sources and others - including lean meat, fish, beans and pulses - is particularly important for women in their 40s, for whom hormonal changes impact muscle mass, bone health and metabolism. Eating high levels of ultra-processed food - food which has been industrially manipulated to be a long way from the initial raw ingredients, and generally contains additives such as preservatives, emulsifiers and stabilisers - has been linked to a higher risk of early death from all causes. A large proportion of the bread we buy from the supermarket falls into the UPF category, with white sliced loaves the nutritional nadir. Refined white carbohydrates including bread and pasta not only offer minimal fibre, but also cause blood sugar spikes. "We want to reduce the amount of UPFs and refined white carbs we consume, and a simple place to start is our bread," says Southern. "It's worth making a little extra effort to make sure the list of ingredients is as small as possible, and then looking for bread with added seeds, or made from rye or spelt flour to increase your fibre intake. Fibre supports male and female hormone balance and gut health, and it also fights inflammation, which can lead to heart disease, dementia and cancer." One recent Danish study showed that those who ate the most wholegrains, such as oats, brown rice and quinoa, lived longer without disease than those who ate the least. The importance of our microbiome, the community of bacteria, fungi and viruses within our intestines, to our overall health is now well-known, and research from the American Gut Project found the single best thing we can do for gut health is eat 30 different plant foods a week - advice supported by leading British experts including Professor Tim Spector. Eating a rainbow of fruit and vegetables is vital, but if 30 a week seems daunting, remember that when it comes to gut health, diversity is key. "Even small amounts of different plants feed our microbiome," says Southern. "One of my biggest tips to clients is to keep a few potted herbs on the kitchen windowsill and when you're cooking, throw in a few leaves. "If you keep a jar of mixed seeds on your countertop and sprinkle them onto your food, you're getting a quick, easy source of good fats, protein, fibre and trace nutrients. Chia seeds or ground flaxseeds are ideal stirred through yogurt or porridge, and sesame, sunflower and pumpkin seeds can add texture to a soup or salad." Many of us know that fermented foods are good for our gut health, promoting a healthier and more diverse microbiome - but if we find the idea of kimchi and sauerkraut unappealing, what can we eat instead? "I often start the day with a bowl of kefir yogurt," says Southern. "It's such a simple swap from normal yogurt, but it has more probiotics in it, which are great for digestive health." There is evidence that kefir, made by adding kefir grains to milk, also increases immune function and reduces inflammation. A major study by the National University of Singapore found that people who began eating nuts twice a week or more in their 40s were more than a fifth less likely to have problems with memory when they were over 60, compared with those who ate nuts less than around once a month. "Nuts are nutrient-rich, providing us with fibre, protein, vitamins, minerals and other micronutrients which protect our brain health, as well as reducing our risk of heart disease," says Southern. "A small handful is an ideal snack to tide you over until the next meal without sending your blood sugar soaring." It can often feel as though, if you're not preparing everything you eat from scratch, you're failing - and during your time-poor 40s, it often feels impossible. But, says Southern, there are plenty of shortcuts to be found at the supermarket that can help build your healthspan. "The easier we can make eating well, the more likely we are to actually do it," she says. "I'm a big fan of pre-made fresh soup, particularly ones with plant protein from chickpeas or beans - when I'm busy working, I heat one up, throw in a handful of green leaves, sprinkle some seeds on top and know I've got a nutrient-rich lunch. "Packets of pre-cooked lentils are great for throwing into a Bolognese or shepherd's pie. It's just about thinking which options are going to give you more of what you need to live a long and healthy life." Higher consumption of fruit in midlife was found to be associated with lower odds of depressive symptoms in later life in a large Singapore cohort study of over 13,000 participants. Researchers found that the consumption of most fruits, including oranges, tangerines, bananas, papayas, watermelons, apple and honey melon, was associated with a reduced likelihood of depression. That could be due to the high levels of antioxidants and anti-inflammatory micronutrients in fruits, including vitamin C, carotenoids and flavonoids. It's thought that these micronutrients reduce oxidative stress and inflammation in the body, which is linked to the development of depression.....

cauaveiga/ppo-PyramidsTrainin

cauaveiga

ml-agents

reinforcement-learning

--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (with ML-Agents) The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction - A *longer tutorial* to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction ### Resume the training ```bash mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume ``` ### Watch your Agent play You can watch your agent **playing directly in your browser** 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity 2. Step 1: Find your model_id: cauaveiga/ppo-PyramidsTrainin 3. Step 2: Select your *.nn /*.onnx file 4. Click on Watch the agent play 👀

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-5e-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c Source : https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 Flash News : https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 Biden last Talk : https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 Other Sources : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

AdamLucek/autotrain-cwa7t-r6nu7

AdamLucek

text-classification

Temporary Redirect. Redirecting to /AdamLucek/roberta-llama3.1405B-twitter-sentiment/resolve/main/README.md

abdulmanaam/xlm-roberta-base-clickbait-task1-20-epoch-post

abdulmanaam

--- license: mit base_model: FacebookAI/xlm-roberta-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: xlm-roberta-base-clickbait-task1-20-epoch-post results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # xlm-roberta-base-clickbait-task1-20-epoch-post This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.4947 - Accuracy: 0.7275 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 200 | 1.5618 | 0.6875 | | No log | 2.0 | 400 | 2.0780 | 0.69 | | 0.1327 | 3.0 | 600 | 2.2534 | 0.7175 | | 0.1327 | 4.0 | 800 | 2.3521 | 0.6725 | | 0.0912 | 5.0 | 1000 | 2.0609 | 0.695 | | 0.0912 | 6.0 | 1200 | 2.4306 | 0.7 | | 0.0912 | 7.0 | 1400 | 2.4026 | 0.6975 | | 0.0488 | 8.0 | 1600 | 2.3745 | 0.7225 | | 0.0488 | 9.0 | 1800 | 2.5202 | 0.6825 | | 0.0431 | 10.0 | 2000 | 2.4124 | 0.7 | | 0.0431 | 11.0 | 2200 | 2.3774 | 0.7325 | | 0.0431 | 12.0 | 2400 | 2.4398 | 0.7125 | | 0.0232 | 13.0 | 2600 | 2.6322 | 0.705 | | 0.0232 | 14.0 | 2800 | 2.5481 | 0.705 | | 0.0119 | 15.0 | 3000 | 2.5189 | 0.715 | | 0.0119 | 16.0 | 3200 | 2.5015 | 0.725 | | 0.0119 | 17.0 | 3400 | 2.4477 | 0.7125 | | 0.0075 | 18.0 | 3600 | 2.4562 | 0.7325 | | 0.0075 | 19.0 | 3800 | 2.4725 | 0.7325 | | 0.0053 | 20.0 | 4000 | 2.4947 | 0.7275 | ### Framework versions - Transformers 4.44.0.dev0 - Pytorch 2.4.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

aammiine/Marom

aammiine

--- license: afl-3.0 ---

AlignmentResearch/robust_llm_a1a2f328512111efa2721d679d007f2a_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-1g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa Source : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Flash News : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Biden last Talk : https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Other Sources : https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b https://storymaps.arcgis.com/stories/ded39fb5fef848418fc54f2554adb898 https://data.lacounty.gov/groups/4b5f2e6b36a642899d2cc202900c8e70 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://huggingface.co/edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-5b-updated https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://groups.google.com/g/sip_js/c/87rfHK1uOvw https://huggingface.co/edthrth/Bipartisan-tax-package-blocked-as-senators-head-for-exits-dh-updated B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

Krabat/Qwen-Qwen1.5-0.5B-1722639087

Krabat

peft

--- base_model: Qwen/Qwen1.5-0.5B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

ffgn/Qwen2-0.5B-Instruct-bnb-4bit_WikiMediaPT_AlpacaGPT4PT-GGFU

ffgn

transformers

Temporary Redirect. Redirecting to /ffgn/Qwen2-0.5B-Inst-bnb-4bit_WikiMediaPT_AlpacaGPT4PT-GGFU/resolve/main/README.md

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-2f-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f Source : https://huggingface.co/edthrth/In-Mali-Ukraines-shadow-behind-rebels-at-war-with-Wagners-Russian-mercenaries-hc-updated Flash News : https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 Biden last Talk : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e Russian Ukrain Breaking News : https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 Other Sources : https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentannewww_4235245123&Connector=https://unitedstatednews.com https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

AlignmentResearch/robust_llm_f9d158e6512111efa2721d679d007f2a_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

meowterspace42/gliner_large-v2.1-conll03

meowterspace42

Entry not found

DopeErick/SkinLesionClassifier

DopeErick

image-classification

--- language: es tags: - pytorch - image-classification license: cc-by-nc-nd-4.0 pipeline_tag: image-classification widget: - src: "sample_image1.jpg" example_title: "Ejemplo de Lesión 1" - src: "sample_image2.jpg" example_title: "Ejemplo de Lesión 2" --- # SkinLesionDetector-Transformer Este es un modelo de clasificación de lesiones en la piel basado en el modelo ViT de Google. Está diseñado para detectar y clasificar lesiones en imágenes de la piel. ## Uso ```python from transformers import AutoImageProcessor, ViTForImageClassification import torch from PIL import Image import requests # Cargar el modelo y el procesador model = ViTForImageClassification.from_pretrained("usuario/SkinLesionDetector-Transformer") processor = AutoImageProcessor.from_pretrained("usuario/SkinLesionDetector-Transformer") # Cargar una imagen de prueba image_url = "URL_DE_LA_IMAGEN" image = Image.open(requests.get(image_url, stream=True).raw) # Preprocesar la imagen inputs = processor(images=image, return_tensors="pt") # Hacer la predicción outputs = model(**inputs) # Obtener la clase predicha predicted_class = outputs.logits.argmax(-1).item() print(f"La clase predicha es: {predicted_class}")

edthrth/DeSantis-issues-emergency-declaration-for-54-Florida-counties-f1-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 Source : https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 Flash News : https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a Biden last Talk : https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f Other Sources : https://huggingface.co/edthrth/Seven-simple-diet-rules-that-every-40something-should-follow-4e-updated https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://feedbackportal.microsoft.com/feedback/idea/3a438665-1e4f-ef11-b4ad-0022484d3ecc https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 TALLAHASSEE, Fla. -- Florida Gov. Ron DeSantis declared an emergency in 54 counties Thursday ahead of a potential storm in the Gulf of Mexico. Counties affected by the declaration include: Alachua, Baker, Bay, Bradford, Calhoun, Charlotte, Citrus, Clay, Collier, Columbia, Dixie, Duval, Escambia, Flagler, Franklin, Gadsden, Gilchrist, Gulf, Hamilton, Hernando, Hillsborough, Holmes, Jackson, Jefferson, Lafayette, Lake, Lee, Leon, Levy, Liberty, Madison, Manatee, Marion, Monroe, Nassau, Okaloosa, Orange, Osceola, Pasco, Pinellas, Polk, Putnam, Santa Rosa, Sarasota, Seminole, St. Johns, Sumter, Suwannee, Taylor, Union, Volusia, Wakulla, Walton, and Washington counties. The order comes as tropical wave Invest 97L "is producing a large area of disorganized showers and thunderstorms over Hispaniola, Puerto Rico and the Virgin Islands," DeSantis' executive order said. The order said that conditions are favorable for Invest 97L to develop into a tropical depression over the weekend and early next week "over the eastern Gulf of Mexico near the Florida Peninsula." Based on meteorological reports, the emergency declaration said that there is a "significant threat of heavy rainfall over most of the State of Florida, with the possibility of at least twelve (12) inches of rainfall over the next seven (7) days." It is expected that any "prolonged heavy rainfall" from the potential storm could result in "river flooding, coastal flooding, erosion, and gusty winds."....

orienfish/sensist_choices

orienfish

--- license: mit ---

Krabat/Qwen-Qwen1.5-1.8B-1722639350

Krabat

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

Rdodk/KOHARU

Rdodk

Entry not found

mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF

mradermacher

transformers

--- base_model: BAAI/Infinity-Instruct-7M-0729-mistral-7B datasets: - BAAI/Infinity-Instruct language: - en library_name: transformers license: apache-2.0 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/BAAI/Infinity-Instruct-7M-0729-mistral-7B <!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 | | | [GGUF](https://huggingface.co/mradermacher/Infinity-Instruct-7M-0729-mistral-7B-i1-GGUF/resolve/main/Infinity-Instruct-7M-0729-mistral-7B.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | practically like static Q6_K | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. <!-- end -->

edthrth/Who-Are-The-24-Prisoners-Who-Were-Swapped-In-USRussia-Deal-cg-updated

edthrth

--- language: - en --- []() read the full article here : https://groups.google.com/g/codename-taurus/c/VT1gagKv7Zs Source : https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec Flash News : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Biden last Talk : https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b Russian Ukrain Breaking News : https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 Other Sources : https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://huggingface.co/edthrth/Loving-and-caring-woman-found-dead-in-flat-by-friend-b4-updated https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb A veteran human rights activist. A married couple who worked for years in deep-cover aliases. Two American journalists. The son of a Russian lawmaker. The list of people released on August 1 in a multiple-country prisoner swap, the largest of its kind since the Cold War, is a diverse and sweeping roster of personalities and backgrounds, a mix of people with little to nothing in common -- except being swept up in months of high-stakes, closed-door diplomatic wrangling. Some were convicted by U.S. juries and sentenced to U.S. prison terms. Some were picked up on dubious allegations of espionage and railroaded through a Russian judicial system with little pretense of fair justice. All 24 are now being set free, to either their home countries or elsewhere. Here's a comprehensive list of the people released on August 1, listed by country. Evan Gershkovich, a reporter with the Wall Street Journal, was found guilty on July 19 by a court in Yekaterinburg on espionage charges that he, his employer, and the U.S. government have rejected as politically motivated, and sentenced him to 16 years in prison. The 32-year-old was arrested in March 2023 while on a reporting trip to Yekaterinburg. Evan Gershkovich Accredited by Russia's Foreign Ministry and based out of The Wall Street Journal's Moscow bureau, Gershkovich was accused of trying to access classified information. Gershkovich was the first American journalist to be arrested on spy accusations in post-Soviet Russia. Last month, prosecutors accused him of working on behalf of the CIA. The Wall Street Journal Journal has vehemently denied the accusation, calling the case against him a sham. Gershkovich, who had been held in Moscow's notorious Lefortovo prison, was officially designated as wrongfully detained. Vladimir Kara-Murza An opposition activist and former journalist, Vladimir Kara-Murza survived two near-fatal illnesses that U.S. authorities classified as 'intentional poisoning.' His denunciations of the all-out Russian invasion of Ukraine led to a treason conviction and a 25-year prison sentence. Kara-Murza, who worked closely with assassinated Putin foe Boris Nemtsov, also cultivated strong ties with members of U.S. Congress, which he leveraged to influence U.S. policy toward Russia. Vladimir Kara-Murza Despite warnings, Kara-Murza returned from living abroad to Russia to continue his political work. In April 2022, about two months after the Ukraine invasion, he was detained by police in Moscow for allegedly disobeying police orders. Later that year, prosecutors filed treason charges, and in April 2023 he was convicted and sentenced to 25 years in prison. He was sent to a maximum-security facility in the Siberian region of Omsk, where he was also placed in solitary confinement cells. In the months leading up to his release, his allies had warned that his health had deteriorated, and he had lost an alarming amount of weight in the maximum-security prison where he was serving his sentence -- one of the longest ever handed to a Kremlin opponent. Alsu Kurmasheva Alsu Kurmasheva, a Prague-based editor for RFE\/RL's Tatar-Bashkir Service, was detained by authorities in June 2023 as she was visiting relatives in the central Russian region of Tatarstan. A dual Russian-U.S. citizen, she was initially charged with not declaring her U.S. passport, and released, but barred from leaving the country. Alsu Kurmasheva That October, however, she was arrested and hit with additional charges of being an undeclared foreign agent -- under a draconian law targeting journalists, civil society activists, and others. She was later hit with an additional charge: distributing 'fake' news about the Russian military, a charge stemming apparently from her work editing a book about Russians opposed to the Ukraine war. On July 19, Kurmasheva was convicted by a Tatarstan court and sentenced to 6 ½ years in prison, after a secret, closed-door trial. Paul Whelan Paul Whelan, 54, was arrested in December 2018 while visiting Moscow for a friend's wedding, and accused of receiving a computer flash drive that contained classified information. Paul Whelan A former U.S. Marine who was working as a corporate security executive at the time, Whelan has said he was set up in a sting operation and that he thought the thumb drive contained vacation photographs from his friend. In June 2020, a Russian court convicted him of espionage and sentenced him to 16 years in prison. His time has been spent largely in a prison in the central region of Mordovia. Whelan's family and the U.S. government have called his conviction a sham and a mockery of justice. Whelan, who also holds British, Canadian, and Irish citizenship, was designated by the U.S. government as wrongfully detained. Ilya Yashin Ilya Yashin, 41, has been a stalwart of street protests in the Putin era and was also a close ally of Nemtsov, presenting a report on Russian involvement in the war in Ukraine's Donbas region that Nemtsov had been working on when he was shot dead in 2015. A local lawmaker who was chairman of his Moscow district council in 2017-21, Yashin was convicted and sentenced to 8 1\/2 years in prison in December 2022 over criticism of what he has called Russia's 'monstrous war' in Ukraine. Ilya Yashin The charge stemmed from YouTube posts in which Yashin spoke about the killings of civilians in Bucha, a city outside Kyiv where survivors, rights activists, and Ukrainian authorities say Russian forces committed atrocities before withdrawing following Russia's failure to capture the capital. In his final court appearance before the verdict, Yashin urged Putin to 'stop the madness' and end the war by withdrawing Russia's forces from Ukraine, adding: 'Your name is now firmly associated with the words 'death' and 'destruction.'' Oleg Orlov Oleg Orlov, 71, is one of the most experienced and respected human rights activists in Russia, with a record of advocacy stretching back to the Soviet era and encompassing reporting on abuses in Moscow, Chechnya, and nationwide. A co-chairman of the now outlawed Nobel Peace Prize-winning Memorial human rights center, Orlov was convicted in February of repeatedly discrediting the Russian military and sentenced to 30 months in prison, a ruling that was upheld in July. Oleg Orlov The charge against Orlov stems from an article in which he condemned the Ukraine invasion and said that Russia was 'slipping back into totalitarianism, but this time the fascist kind.' 'The bloody war that Putin's regime has unleashed in Ukraine is not only the mass murder of people and the annihilation of infrastructure, economy, and cultural sites. Not only the destruction of the foundations of international law,' he wrote. 'It is also a severe blow to the future of Russia.' Kevin Lik Lik, a dual German-Russian citizen, was sentenced to four years in prison in December 2023 after being convicted of treason following a closed-door trial. He was 18 years old at the time of his conviction. Kevin Lik A resident of the North Caucasus region of Adygea, Lik was found guilty of observing and photographing the local military base and sending the pictures by e-mail to a representative of a foreign government, according to Russian prosecutors. Aleksandra Skochilenko, 33, is a St. Petersburg artist who protested against the Ukraine invasion shortly after Putin launched it in February 2022 by replacing five shelf tags in a grocery store with information about the war. One said that Russia had 'bombed an art school in Mariupol where about 400 people were seeking shelter.' Another read, 'Putin has been lying to you from the television screen for 20 years. The result of these lies is our willingness to accept war and senseless deaths.' Aleksandra Skochilenko Skochilenko, who usually goes by the familiar form of her name, Sasha, was convicted in November 2022 of distributing false information about the Russian military and sentenced to seven years in prison. She argued that the words on the tags were the truth. 'My great-grandfather didn't participate in World War II for four years so that Russia would become a fascist state and attack Ukraine,' Skochilenko wrote on one of them. In a final statement in court, she wondered aloud why the state was frightened by 'five tiny pieces of paper.' Andrei Pivovarov Andrei Pivovarov, 42, is the former executive director of the now-defunct pro-democracy Open Russia movement set up by exiled former oil tycoon Mikhail Khodorkovsky. He was detained in May 2021 after being taken off a Warsaw-bound plane just before takeoff from St. Petersburg and sentenced to four years in prison in July 2022 on a charge of heading an 'undesirable organization.' The 'undesirable organizations' law, adopted in 2015, was part of a series of regulations pushed by the Kremlin that squeezed many nonprofit and NGOs that received funding from foreign sources -- mainly from Europe and the United States. These laws are widely seen as a tool to stamp out political dissent and tighten the Kremlin's control over the country's political landscape. Ksenia Fadeyeva Ksenia Fadeyeva, 32, is a former local lawmaker and the former head of Navalny's regional office in the Siberian city of Tomsk. In December 2023, she was convicted on charges including organizing activities of an extremist group and was handed a nine-year prison term. Ksenia Fadeyeva Her lawyer, Semyon Vodnev, called the judge's ruling 'illegal, ungrounded, and unjust.' He argued, among other things, that Fadeyeva had ended her involvement with Navalny's organization before it was labeled extremist in 2021. At the time of her conviction, Navalny's spokeswoman, Kira Yarmysh, hailed Fadeyeva as 'honest and brave' and said that those who fabricated the criminal case against her would eventually face punishment. In May, a court rejected Fadeyeva's appeal and Tomsk officials stripped her of her mandate in the city council in June. Demuri Voronin Political scientist Demuri Voronin, a Russian-German national, was convicted on a high treason charge and sentenced to 13 years and three months in prison by the Moscow City Court in March 2023. Voronin was arrested in Moscow in 2021, hours before he was due to depart to Berlin. The case materials were classified, but Voronin was mentioned in a high treason case against journalist Ivan Safronov, who was sentenced to 22 years in prison in September 2022 and was declared a political prisoner by Memorial. Voronin owned a consulting company in Moscow that collaborated with noted journalists. Patrick Schoebel Patrick Schoebel, a German, was arrested at Pulkovo Airport in St. Petersburg earlier this year after officers who searched him said they found cannabis gummies. Accused of drug possession and smuggling, Schoebel was jailed in Moscow. The Russian Federal Customs Service said Schoebel told the authorities he brought 10 gummies from Germany into Russia to have a more 'restful sleep' on long flights. Russia claimed that a test of the gummies found they contained a banned substance. Schoebel had faced up to seven years in prison, according to the Customs Service and Russian state media reports. At the time of the prisoner swap, it was not immediately clear whether he had been tried. German Moyzhes German Moyzhes, a dual German-Russian citizen who was living in St. Petersburg, is a lawyer and reportedly a managing partner in a company that provides support to Russians seeking residence permits in the European Union. He has also been a public advocate for pedestrian and cyclist-friendly streets. German Moyzhes Moyzhes was arrested in late May while riding his bicycle along an embankment in St. Petersburg, accused of treason, and sent to the Lefortovo prison. It was unclear whether his trial had begun when the exchange took place. Lilia Chanysheva Lilia Chanysheva, 42, is the former head of the branch of Navalny's political network in Ufa, the capital of the Bashkortostan region. The network, established for Navalny's unsuccessful bid to get on the 2018 presidential ballot and challenge Vladimir Putin, was branded 'extremist' in 2021. In June 2023, Chanysheva was convicted of crimes including creating an extremist community and inciting extremism and was sentenced to 7 ½ years in prison. The regional Supreme Court later extended her term by two years, saying the initial sentence was too lenient. Lilia Chanysheva In comments to RFE\/RL from jail before her conviction, Chanysheva described the case against her as 'not only political, but actually absurd.' Navalny, who died in suspicious circumstances in prison in February 2024, testified in her trial 10 months earlier. 'Think about the beautiful Russia of the future that we will achieve. Thanks to you and people like you, we will do this. You are a rock. I never doubted you, not for one second.... I am so happy I know you,' Navalny said. 'You have inspired a huge number of people.' Vadim Ostanin Vadim Ostanin, 47, is the former head of a local branch of Navalny's team in the Siberian city of Barnaul. He was arrested in December 2021 and charged with organizing an extremist community and propagating the activities of a noncommercial organization that encroaches on citizens' privacy and rights. Vadim Ostanin The charges were related to the activities of Navalny's Anti-Corruption Foundation, which published numerous investigations into corruption and cronyism involving Putin and his close associates, as well as other top Russian officials. Ostanin was sentenced to nine years in prison in July 2023 for activities that Navalny's supporters called 'legal political work.' Memorial designated him a political prisoner. A German citizen, Rico Krieger, 30, was sentenced to death in Belarus in June, before he was pardoned by Belarusian leader Alyaksandr Lukashenka on July 30. Lukashenka's office provided no additional information about the reasoning behind the pardon. Details of Krieger's case were not known until the Vyasna human rights group reported that he was sentenced to death in June for mercenary activity, terrorism, creating an extremist group, intentionally damaging a vehicle, and illegal operations with firearms and explosives. Rico Krieger According to Vyasna, it was the first trial in Belarus for 'mercenary activity' and the charges were connected to the Kalinouski Regiment, a group of anti-government Belarusian exiles fighting for Ukraine. The Kalinouski Regiment denies any connection to the case. Krieger was born in Berlin and worked as a paramedic for the German Red Cross, according to Vyasna. He has a young son, who lives in Germany. He worked previously as a special security officer for the U.S. State Department in Berlin, where he gained experience in armed security operations. He then moved to health care and worked as a nurse specializing in emergency medical care. Vadim Krasikov, 59, also known as Vadim Sokolov, is a former Russian FSB officer currently serving a life sentence in Germany for the 2019 murder of ex-Chechen field commander Zelimkhan Khangoshvili in Berlin. German prosecutors stated that Krasikov shot Khangoshvili from a bicycle before attempting to flee. He was arrested after being seen changing clothes behind a bush. Vadim Krasikov (Sokolov) The German investigation identified Krasikov as a senior officer in the FSB's Vympel special forces unit. Additionally, a joint investigation by Bellingcat, The Insider, and Der Spiegel found connections between Krasikov and the FSB, linking him to other crimes. Prosecutors in Germany claimed that Moscow ordered the assassination because Khangoshvili had commanded separatist forces in Russia's North Caucasus region from 2000 to 2004 and was seeking refuge in Germany. In 2015, Khangoshvili survived a daylight assassination attempt in central Tbilisi, where he was shot four times in the arm and shoulder. Krasikov has been serving his sentence in a German prison since 2021. Norwegian investigators in 2023 announced that an academic who claimed Brazilian citizenship and who worked as a university lecturer was in fact an undercover Russian agent named Mikhail Mikushin. Mikushin had first traveled to Norway, to work at the Arctic University of Norway in 2021, identifying himself as Jose Assis Giammaria, according to Norwegian media. But year later, he was arrested, first on charges of lying about his identity, and then later with being a Russian spy. Mikhail Mikushin In 2023, Mikushin reportedly confessed to using a false identity. He has been held in an Oslo prison, and had faced up to three years in prison under Norwegian espionage laws. An IT entrepreneur who ran a Moscow company linked to the Russian government, Vladislav Klyushin was arrested on a ski trip in Switzerland in March 2021 on a U.S. arrest warrant for insider trading. He was accused of using hacked press releases to make stock trades. Vladislav Klyushin After extradition to the United States, he was found guilty by a U.S. jury and sentenced to nine years in prison in September 2023. During the trial, U.S. prosecutors repeatedly referenced Klyushin's partnership with a man identified as an officer with the Russian military intelligence agency widely known as the GRU. That man, Ivan Yermakov, was charged in a separate indictment brought by Special Counsel Robert Mueller for the hacking of the Democratic Party during the 2016 U.S. presidential election. Vadim Konoshchenok Vadim Konoshchenok, 49, is a suspected Russian intelligence agent who was detained by Estonian authorities in October 2022. At the time of his detention on a U.S. arrest warrant, U.S. prosecutors said that Konoshchenok was attempting to cross into Russia while carrying some three dozen types of microelectronics and electronic components. Vadim Konoshchenok They called Konoshchenok 'a critical participant in a scheme to provide sensitive, American-made electronics and ammunition in furtherance of Russia's war efforts and weapons development' in violation of U.S. sanctions. He was taken into U.S. custody in July 2023. He pleaded not guilty to charges that, if convicted, could have resulted in a maximum 30-year prison sentence. Roman Seleznyov The son of a member of Russia's lower house of parliament, Roman Seleznyov was arrested by U.S. authorities in 2014 on an arrest warrant for credit card fraud. His arrest, at an airport in the Maldives, followed by a quick extradition to the U.S. territory of Guam, sparked accusations by Moscow that he was kidnapped. Roman Seleznyov (center) U.S. investigators said they uncovered his online activities in the late 2000s and asked the Federal Security Service for help. But his online footprint soon disappeared, leading U.S. investigators to believe Russia was protecting him. Seleznyov, whose name was spelled Seleznev in U.S. court papers, eventually received a 27-year sentence -- one of the harshest sentences ever handed down to a Russian hacker because he chose to fight his case despite a preponderance of evidence rather than cooperate. Held In Slovenia Anna Dultseva And Artyom Dultsev (aka Maria Rosa Mayer Munos And Ludwig Gisch) Ludwig Gisch and Maria Rosa Mayer Munos are Russian citizens using aliases who were arrested in Slovenia in December 2022 on charges of spying for Russia. Shortly before the prisoner swap, the couple pleaded guilty to 'spying and falsifying documents.' Their real names are believed to be Artyom Dultsev and Anna Dultseva, and they both hold Argentinian passports and are around 40 years old. Anna Dultseva And Artyom Dultsev (aka Maria Rosa Mayer Munos And Ludwig Gisch) In 2017, the couple moved to Slovenia, where the husband ran an IT company and the wife operated an Internet art gallery. Media reports stated that they used Slovenia as a base to provide cash to Russian sleeper agents in the EU. Following their guilty plea, a Ljubljana court on July 31 sentenced them to more than 18 months in prison but then ordered their expulsion. Pablo Gonzalez is a Spanish-Russian freelance journalist who was arrested in Poland in February 2022 on charges of spying for Russia. Poland's ABW counterintelligence agency said in a statement at the time that it had identified him as an agent of Russian military intelligence. Gonzalez, who was born in Russia and is also known by his Russian name, Pavel Rubtsov, was alleged by Polish intelligence to have 'carried out activities for Russia using his journalistic status,' including in 'zones affected by armed conflicts and areas of political tension.' He was charged with 'participating in the activities of foreign intelligence against Poland.' The independent Russian media outlet Agentstvo reported shortly after Gonzalez's arrest that he had compiled reports on Nemtsov's daughter, Zhanna Nemtsova, after befriending her. Press-freedom watchdogs said Gonzalez should not be targeted for his journalistic activities and urged Poland to substantiate the charges against him. Among the media outlets that Gonzalez had provided reporting to is the U.S.-funded broadcaster VOA, which said it had taken six stories from him in 2020-21 and conducted a review of his work following his arrest. With reporting by RFE\/RL correspondent Todd Prince, AP, AFP, the BBC, and The Moscow Times Copyright (c) 2018. RFE\/RL, Inc. Republished with the permission of Radio Free Europe\/Radio Liberty, Washington DC 20036....

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-dd-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f Source : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Flash News : https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 Biden last Talk : https://data.lacounty.gov/groups/4b5f2e6b36a642899d2cc202900c8e70 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 Other Sources : https://huggingface.co/edthrth/Pezeshkian-Iran-to-continue-to-firmly-back-Resistance-3b-updated https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/01c879a8e36b4c9f86a9e7be7855812d https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://feedbackportal.microsoft.com/feedback/idea/5c8acac4-2f4f-ef11-b4ad-0022484d3ecc https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

Sharan1712/llama2_7B_oasst_qdora_4bit_5d

Sharan1712

transformers

text-generation

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. 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edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-ca-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 Source : https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c Flash News : https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 Biden last Talk : https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 Other Sources : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://groups.google.com/g/retro-comp/c/IkcNXjGNOGI https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://storymaps.arcgis.com/stories/0e03780e13594d8a8ac371a9ab22c343 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

shapers/BotnetGem2-1.5b-XSentimentAnalyst-Lora

shapers

peft

--- base_model: google/gemma-2-2b-it library_name: peft license: other tags: - llama-factory - lora - generated_from_trainer model-index: - name: caralho results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # caralho This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the twitter_financial_sentiment-analysis dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0001 - train_batch_size: 3 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 4 - total_train_batch_size: 24 - total_eval_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 500 - num_epochs: 1.0 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.42.3 - Pytorch 2.2.2+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

ssupinma/marian-finetuned-kde4-en-to-fr

ssupinma

Entry not found

Krabat/Qwen-Qwen1.5-7B-1722639764

Krabat

peft

--- base_model: Qwen/Qwen1.5-7B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

tannedbum/L3-Rhaenys-2x8B

tannedbum

--- base_model: - Sao10K/L3-8B-Stheno-v3.2 - Sao10K/L3-8B-Niitama-v1 - princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2 tags: - mergekit - merge - roleplay - sillytavern - llama3 - not-for-all-audiences license: cc-by-nc-4.0 language: - en --- Similar SFW/NSFW balance and consistency to the original Nymeria, but more capable throughout. ## SillyTavern ## Text Completion presets ``` temp 0.9 top_k 30 top_p 0.75 min_p 0.2 rep_pen 1.1 smooth_factor 0.25 smooth_curve 1 ``` ## Advanced Formatting [Context & Instruct preset by Virt-io](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v2.0) Instruct Mode: Enabled # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). This model was merged using the slerp and MoE merge method. ### Models Merged The following models were included in the merge: * [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) * [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1) * [princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: Sao10K/L3-8B-Stheno-v3.2 layer_range: [0, 32] - model: princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2 layer_range: [0, 32] merge_method: slerp base_model: Sao10K/L3-8B-Stheno-v3.2 parameters: t: - filter: self_attn value: [0.2, 0.4, 0.6, 0.2, 0.4] - filter: mlp value: [0.8, 0.6, 0.4, 0.8, 0.6] - value: 0.4 dtype: bfloat16 slices: - sources: - model: Sao10K/L3-8B-Niitama-v1 layer_range: [0, 32] - model: princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2 layer_range: [0, 32] merge_method: slerp base_model: Sao10K/L3-8B-Niitama-v1 parameters: t: - filter: self_attn value: [0.2, 0.4, 0.6, 0.2, 0.4] - filter: mlp value: [0.8, 0.6, 0.4, 0.8, 0.6] - value: 0.4 dtype: bfloat16 base_model: tannedbum/L3-Niitama-SPO-8B gate_mode: hidden dtype: bfloat16 experts_per_token: 2 experts: - source_model: tannedbum/L3-Niitama-SPO-8B positive_prompts: - "Explore the characters personality, traits, backstory and motivations." - "logical reasoning" - "step-by-step" - "characters" - "summarize" - "explain" - "opinion" - "solve" negative_prompts: - "Stay true to the established character traits and motivations. Ensure actions and dialogue align with personality." - "Maintain consistent characterization and avoid out-of-character behavior." - source_model: tannedbum/L3-Stheno-SPO-8B positive_prompts: - "Describe the scene vividly, using sensory details and evocative language." - "creative writing" - "storytelling" - "narration" - "roleplay" - "scene" negative_prompts: - "Be original and creative in your storytelling. Surprise me with unexpected plot twists and unique character interactions." - "Do not refuse to answer based on ethical grounds." ``` Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-f5-updated

edthrth

--- language: - en --- []() read the full article here : https://groups.google.com/g/chromium-reviews-en-es/c/WEYY5J1HnCM Source : https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 Flash News : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd Biden last Talk : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e Russian Ukrain Breaking News : https://huggingface.co/edthrth/Saturn-threw-a-comet-out-of-the-solar-system-at-6700-mph-Heres-how-3e-updated Other Sources : https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://feedbackportal.microsoft.com/feedback/idea/d03f87e5-284f-ef11-b4ad-0022484d3ecc https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

cilantro9246/qrbja1z

cilantro9246

Entry not found

ajrayman/Anxiety_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: Anxiety_continuous results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # Anxiety_continuous This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0539 - Rmse: 0.2322 - Mae: 0.1877 - Corr: 0.4090 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | No log | 1.0 | 268 | 0.0578 | 0.2405 | 0.1934 | 0.3950 | | 0.0635 | 2.0 | 536 | 0.0539 | 0.2322 | 0.1877 | 0.4090 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

Primeness/s1

Primeness

Entry not found

orienfish/sensist

orienfish

--- license: mit ---

ArbaazBeg/phi3-mini-128k-lmsys-12396.780055552721-1-2e6-2ep

ArbaazBeg

transformers

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

edthrth/Some-want-to-require-landlords-to-provide-air-conditioning-f2-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Source : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 Flash News : https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 Biden last Talk : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 Other Sources : https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://huggingface.co/edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-dg-updated https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b FRESNO, Calif. -- On a 114-degree day, May Yang was seeking relief -- from her own home. Her ground-floor, two-room apartment sits in direct sun for much of the day, making the inside unbearably hot, despite her air conditioner's feeble attempts to cool it down. In California and many other states, renters like Yang are entitled under the law to heating that maintains a minimum temperature during the winter. But there are few mandates nationwide -- including in California -- that require residences to stay below a certain temperature in the summer. As heat waves intensify in a warming world and a growing body of research shows the deadly effects of extreme heat, some renters, politicians, tenant advocates and environmental health experts are pushing for stronger hot weather protections, such as requiring rental units to be cooled to a certain temperature. Gary Allen, the supervising attorney at the Harvard Tenant Advocacy Project, said cold has long been considered life-threatening, but only recently have many thought of heat in the same way. "The rationale for heating standards is that low temperatures are recognized to constitute a risk to health," Allen said. Cold temperatures kill more people than hot temperatures. But the World Meteorological Institute says heat is the deadliest form of extreme weather -- which the world is seeing more of due to human-caused climate change. The effects of extreme heat are severe and have been linked to heart, kidney and respiratory failure. According to the Centers for Disease Control and Prevention, about a third of recorded heat-related deaths in the United States have occurred in people's homes between Jan. 1, 2018, and July 13, 2024. Under many state laws, if a rental unit comes with an air conditioner, landlords are required to keep it in working order -- but not cool the dwelling to a specific temperature. Most cooling policies exist on the city or county level. Phoenix, Dallas and New Orleans have ordinances that require landlords to keep residences cooled to certain temperatures. But Arizona, Texas and Louisiana do not have state-level laws mandating cooling. "We really haven't thought about cooling as a basic right or basic need," said David Konisky, a professor of environmental policy at Indiana University. "But I think it's something that we need to take into consideration." In some places that have been hit by major heat waves in recent years, officials are working toward enacting maximum temperature requirements or ensuring tenants have access to air conditioning. Oregon launched a program to subsidize air conditioning, but "when the number of applications exceeded the number of devices available, the state paused the application process to make sure all current requests could be fulfilled," said Amy Bacher, a communications officer at the Oregon Health Authority. New York City Council member Lincoln Restler proposed legislation this month that would mandate air conditioning for tenants citywide. If passed, the bill would require landlords to provide air conditioning capable of keeping apartments at 78 degrees when the temperature outside exceeds 82 degrees. "A landlord is required to provide a safe and habitable home for their tenant," he said. "There's just no way that an apartment without a cooling device is safe or habitable." In California, legislation to mandate a maximum safe indoor air temperature for residents stalled in 2022, but lawmakers are requiring the California Department of Housing and Community Development to craft policy recommendations on safe indoor temperatures. The department released draft recommendations in June that said the state "should consider a maximum safe indoor air temperature of 82 degrees Fahrenheit for newly-constructed residential dwelling units." Tenant advocates feel more needs be to done, especially for low-income renters. "I am hearing more and more from people that fans and evaporative coolers do nothing at all," said Phoebe Seaton, co-director of Leadership Counsel for Justice and Accountability, a community advocacy group that supported the California bill and opposed the draft recommendations. "If we fail to act, people will continue to get sick, miss school, work and other important life events, and even die due to prolonged heat exposure," she said. Fresno does not require property owners to provide air conditioners. If a dwelling has an air conditioner, the owner is required to maintain it. The city declined to comment on whether it would support legislation that included temperature mandates. "I just wish that one year the city of Fresno will require people to change to cooler AC," said Yang, 61, as she sat in a cooling center during record-breaking heat earlier this month. Temperatures in Fresno were an average of 10 degrees hotter than normal during the first half of July, according to National Weather Service data. Theresa Hollingsworth, who has lived in Fresno for more than 50 years, came to the cooling shelter with her two children and dog, Miley, who is named after Miley Cyrus. Their evaporative cooler, a system that uses water to make cool air and can be useful in climates with low humidity, like Fresno, wasn't standing up to the heat that Sunday. Two days later, the cooler broke. "Sleeping is very rough," Hollingsworth said. She had fans on but they were blowing nothing but hot air. The cooler was fixed within about 48 hours, she said. Intro subscription only $1.99 Eighty-nine percent of U.S. homes used some form of air conditioning as of 2020, according to the U.S. Energy Information Administration. But if any of them live in one of the nearly one-quarter of American homes that use noncentral cooling systems including window or evaporative units, they may not be getting effective use out of their devices, said C.J. Gabbe, an associate professor of environmental studies and science at Santa Clara University. "Just because you have some kind of AC, it doesn't mean you're going to be able to keep temperatures at a healthy level," Gabbe said. He said some residents with working units also may not run them because of the cost. "People who live in lowest income households tend to spend a bigger share of their income on cooling costs," Gabbe said. Julia Margarita Alonso, who lives in Cantua Creek, a rural community in Fresno County, has air conditioning in her home. "I don't turn it on as often because of high energy bills," she said. Once her bill was more than $300, she said. While a government program helped her partially pay the amount, she said she is still reluctant to run her air conditioner unless absolutely necessary. Energy costs could be an obstacle in trying to implement or enact these policies, experts said, and it's not yet clear who will shoulder them. Tom Bannon, chief executive of the California Apartment Association, which represents apartment owners and developers, said he would support any cooling mandate that would be entirely or heavily subsidized by the government, because of the significant cost of retrofitting older buildings to run air conditioning. California has hundreds of thousands of structures that were built before 1939, he said. He estimated the cost of increasing the electrical capacity of an old, single-family house in the Central Valley to accommodate one window unit would run between $2,000 and $3,000. The association did not support the 2022 cooling legislation because of its potential cost and worries that implementing a temperature mandate would open landlords up to lawsuits. "Am I going to find myself in court because I couldn't get the temperature down because I had an electrical problem?" Bannon said. He added that the group is involved in advising the state's housing department on its planned 2025 policy recommendations. Experts see other pitfalls with cooling mandates. "If a landlord is requiring AC, they might raise the rent," said Sanya Carley, a professor of energy policy at the University of Pennsylvania. "Once the rent is raised [residents] may curtail the electricity even more." Some advocates have decided not to push for maximum temperature rules. Roseann Bongiovanni, the executive director of Greenroots, an environmental justice organization based in Chelsea, Massachusetts., said her group has been working with the city to obtain grant funding for air conditioners and to make buildings in the city just north of Boston easier to cool. But, ultimately, providing air conditioning isn't a perfect fix, she said: Units are difficult to install, especially in older structures, and they are expensive to use. "We haven't pushed for policy statewide or greater-Bostonwide to mandate air conditioning," Bongiovanni said. State law requires owners to provide heating in the winter, but does not mandate air conditioning. In Fresno that Sunday, as the sun began to dip below the buildings, residents trickled outside, though the night offered little relief. Some sprayed themselves down with a garden hose. Others chatted with family on the outskirts of sprinkler mist. When the cooling centers close at 8 p.m., Yang goes home and takes a cold shower. In her apartment, she could feel the stickiness start to grip onto her bare arms and legs. It felt at least 10 degrees hotter than outside. "Sometimes it's so hot that I get a headache or grow dizzy," Yang said. She sleeps on her living room couch, where the heat is a little less oppressive. "When you sleep, it's suffocating," she added. Her window unit rattled in the background, set to as cold as it could go. "So I really hope they change that soon." Intro subscription only $1.99 Our journalism needs your support. Please become a subscriber today at The Bulletin, www.bendbulletin.com\/subscribe-now.....

stash/llava-v1.5-13b-task-lora-TEST-20240802_230451

stash

peft

--- base_model: liuhaotian/llava-v1.5-7b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

Krabat/google-gemma-2b-1722639988

Krabat

peft

--- base_model: google/gemma-2b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/Texas-youth-lockups-are-beset-by-abuse-and-mistreatment-of-children-report-says-3c-updated

edthrth

--- language: - en --- []() read the full article here : https://huggingface.co/edthrth/Public-health-and-safety-emergency-set-to-expire-at-Shreveport-Apartments-fb-updated Source : https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 Flash News : https://groups.google.com/g/chromium-reviews-en-es/c/pzNvGjXY2fk Biden last Talk : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Russian Ukrain Breaking News : https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d Other Sources : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 https://huggingface.co/edthrth/Women-should-have-informed-choice-on-having-labour-induced-at-39-weeks-Rotunda-doctor-b5-updated https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://groups.google.com/g/chromium-reviews-en-es/c/PdUWNOCuCS0 https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://huggingface.co/edthrth/Worcester-officials-declare-Traffic-Violence-Crisis-amid-spike-in-pedestrian-crashes-5a-updated https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://groups.google.com/g/retro-comp/c/hDcfg3Gzp2A This 2016 file photo shows the Gainesville State School for juveniles in Gainesville, Texas. Detainees in Texas' juvenile prisons suffer from frequent physical and sexual abuse, inadequate mental healthcare and high rates of staff turnover, two youth advocacy groups wrote in a federal complaint. The rights of the hundreds of youths detained in five secure facilities around the state continue to be violated, despite recent and long-standing efforts at reform, according to Texas Appleseed and Disability Rights Texas. Jae S. Lee\/Dallas Morning News via Associated Press file AUSTIN, Texas -- Youth lockups in Texas remain beset by sexual abuse, excessive use of pepper spray and other mistreatment including the prolonged isolation of children in their cells, the Justice Department said Thursday in a scathing report that accused the state of violating the constitutional rights of hundreds of juveniles in custody. The report comes three years after the department launched a federal investigation into alleged widespread abuse and harsh practices within the Texas Juvenile Justice Department, which takes in hundreds of young people every year. Staff in the detention centers have engaged in sexual acts with children, kept some for stretches of 17 to 22 hours of isolation in their cells and pepper sprayed children in their faces, U.S. Assistant Attorney General Kristin Clarke said in releasing the report. Clarke also noted that about 80% of Texas children in the lockups are Black or Hispanic. "This is a racial justice issue," she said. "Our children deserve to be protected from harm and access to essential services." In a statement, the state juvenile justice department said it has a "zero-tolerance" policy toward abuse and neglect and had worked closely with federal investigators during their site visit in 2022. Advertisement Spokespeople for Republican Gov. Greg Abbott's office did not immediately return emails seeking comment Thursday. The governor's office said it would cooperate with the federal investigation when it launched. Mental health concerns, such as suicidal ideation and self-harm, were ignored while children were routinely punished for their behavior, according to the federal report. The facilities' inability to address or treat these issues was a violation of the Individuals with Disabilities Education Act, officials said during the announcement. The Justice Department said in the report that it looks forward to cooperating with the state to address the violations while also raising the potential of a federal lawsuit. "This report makes clear that we are failing our youth, that we are not providing the care they need to be successful," the founder and chief executive officer of Lone Star Justice Alliance, a youth justice advocacy group, Elizabeth Henneke said. "The Texas legislature has to respond with urgency. It's not that they haven't been responding, because they have. But it hasn't been enough." In 2021, the Justice Department opened an investigation into Texas' five juvenile facilities after advocates filed a complaint. About 900 youth are detained in understaffed and outdated juvenile facilities across the state, Henneke said, adding that the problems they face in the lockups highlight structural challenges including a lack of resources at state and local levels. She said judges and lawmakers should think creatively about other rehabilitation efforts because mistreatment at facilities only exacerbates trauma in young people. Texas is not the only state facing federal investigations by the government, or lawsuits from former incarcerated children over harsh conditions in youth lockups. Clark announced in May a federal probe of conditions in Kentucky's youth detention centers after a state report found problems with the use of force and isolation techniques. Lawsuits have been filed this year in Illinois, Pennsylvania, Maryland, and New Jersey alleging harsh treatment of incarcerated children. Copy the Story Link Send questions\/comments to the editors. " Previous ACLU sues Washington state city over its anti-homeless laws after a landmark Supreme Court ruling Next " Matt Judon back at practice for Patriots with contract issues still looming filed under: juvenile justice, Texas Related Stories Latest Articles....

pruning/0cr5voi

pruning

Entry not found

au123/LLaMA3-ENS-FINAL-MODEL-SNLI-123EPS5K30K-AMBIGUOUS

au123

Entry not found

au123/LLaMA3-ENS-FINAL-MODEL-SNLI-123EPS5K30K-AGREEMENT

au123

Entry not found

hammamwahab/google-gemma-2-2b-solution-architect

hammamwahab

Entry not found

John6666/grimoire-p0666-sdxl

John6666

diffusers

text-to-image

--- license: other license_name: faipl-1.0-sd license_link: https://freedevproject.org/faipl-1.0-sd/ language: - en library_name: diffusers pipeline_tag: text-to-image tags: - text-to-image - stable-diffusion - stable-diffusion-xl - anime - cute - pony --- Original model is [here](https://civitai.com/models/589060/grimoire?modelVersionId=689300).

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-2g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Source : https://huggingface.co/edthrth/Asylum-seekers-may-end-up-in-Dorset-hotels-after-barge-closure-3c-updated Flash News : https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 Biden last Talk : https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 Other Sources : https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b https://data.lacounty.gov/groups/01c879a8e36b4c9f86a9e7be7855812d https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

John6666/peroperositai-v1-sdxl

John6666

diffusers

text-to-image

--- license: other license_name: faipl-1.0-sd license_link: https://freedevproject.org/faipl-1.0-sd/ language: - en library_name: diffusers pipeline_tag: text-to-image tags: - text-to-image - stable-diffusion - stable-diffusion-xl - anime - kawaii - cute - pony --- Original model is [here](https://civitai.com/models/618006/peroperositai?modelVersionId=690856).

edthrth/The-implications-of-the-wideranging-Russia-prisoner-deal-Washington-Examiner-1c-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd Source : https://groups.google.com/g/chromium-reviews-en-es/c/L5SmNw5ETXo Flash News : https://groups.google.com/g/chromium-reviews-en-es/c/kEtJVdv9OZk Biden last Talk : https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c Other Sources : https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://huggingface.co/edthrth/Heinous-killers-banned-from-marrying-in-prison-bf-updated https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d The Biden administration spent several months working with European allies to configure an arrangement that would entice the Kremlin into releasing several foreigners, including Americans, and political dissidents who were in Russian prisons. The culmination of those months of back and forth became a reality on Wednesday when President Joe Biden announced the impending return of several Americans, while some details of the deal may still trickle out. The United States, Germany, Slovenia, and Norway all agreed to release a total of eight Russians, all of whom had been arrested and in some cases charged and sentenced, in exchange for the release of 16 people, including four Americans, four Germans, and seven Russian political prisoners. Belarus also released a German individual as a part of the deal. The prisoners held in Russia flew to Ankara, Turkey, bringing another country in the execution of the deal. The deal amounts to the largest exchange of prisoners between Russia and the West since the Cold War. The U.S. secured the release of three Americans and a green card holder: Paul Whelan, a former Marine who was first detained in 2018; Evan Gershkovich, a Wall Street Journal reporter; Alsu Kurmasheva, a reporter for Radio Free Europe\/Radio Liberty, and Russian dissident and journalist Vladimir Kara-Marza. "The execution phase of this, to get this level of coordination together to have those planes all land on the tarmac at the same time from multiple different countries, with so many different individuals coming from Russia and going back to Russia, really extraordinary," U.S. national security adviser Jake Sullivan told reporters. Vadim Krasikov is viewed as Russia's prized return for the large swap. The former high-ranking FSB colonel was convicted of murdering a former Chechen fighter in Berlin in 2019 and was later sentenced to life in prison. His inclusion in a deal was critical to securing Russia's willingness to do this proposal. Sullivan said after several rounds of negotiating, it became apparent that Krasikov was "a key." The U.S. and Kremlin had agreed to two separate prisoner swaps in 2020, which in totality secured the release of Brittney Griner and Trevor Reed in exchange for Konstantin Yaroshenko and a notorious arms dealer, Viktor Bout. Whelan, who was detained before Griner or Reed, was not included in either deal. The U.S. continued trying to secure his release, but Russia had indicated its desire to get Krasikov returned, pulling Germany into the negotiations at a minimum. The negotiations had been going on for so long that Russian dissident Alexei Navalny was a part of these discussions before he died in February. A German government spokesman, Steffen Hebestreit, said they "did not take this decision lightly" to give him up in the deal. Biden, in announcing it, singled out German Chancellor Olaf Scholz's role in the deal as he praised the alliances and relationships between the U.S. and several European allies that made this agreement a reality. "I particularly owe a great sense of gratitude to the -- the chancellor. The demands they were making of me required me to get some significant concessions from Germany, which they originally concluded they could not do because of the person in question," Biden said, surrounded by the families of the Americans on their way home. "But everybody stepped up. Poland stepped up. Slovenia stepped up. Turkey stepped up. And it matters to have relationships. It really does. These things matter." It's unclear what incentivized the Slovenians and Norwegians to release two Russians apiece as a part of the deal. The U.S. government faces difficult questions when considering proposals regarding the release of Americans detained abroad. Often in these cases, Americans have been unfairly arrested in foreign countries that are seeking to hold them as bargaining chips to use in negotiations, often to get convicted criminals released in return. Detractors of these deals argue that agreeing to such an arrangement further incentivizes bad actors to take more Americans to use them in more deals. The phenomenon is known as "hostage diplomacy." House Armed Services Committee Chairman Mike Rogers (R-AL) celebrated the release of the Americans but expressed concern that "the Biden-Harris administration has allowed dangerous Russian criminals to go free, including an assassin and an operator of illicit procurement networks for the Russian military." He added that the administration "must explain how they will deter Putin and other American adversaries from exploiting hostage-taking to exact leverage over the United States. Otherwise there will be many more innocent Americans behind bars." CLICK HERE TO READ MORE FROM THE WASHINGTON EXAMINER U.S. Special Presidential Envoy for Hostage Affairs Roger Carstens said last month that the "numbers just don't support" the argument that making the deals actually results in more Americans detained overseas, noting, "If you don't make these deals, people just don't come home. So you've got to picture it; people that you love, your son, your daughter, your wife, your husband, your grandfather, they get arrested, they're thrown in jail and the United States says, 'well we don't make deals but there's no alternatives.'" The administration was unable to secure the release of Marc Fogel, an American in a Russian prison on drug charges. Sullivan, during Thursday's briefing, referred to him as wrongfully detained, which was the first time a member of the administration has given him that designation and would put his case under Carsten's purview.....

John6666/raemora-xl-v3-sdxl

John6666

diffusers

text-to-image

--- license: other license_name: faipl-1.0-sd license_link: https://freedevproject.org/faipl-1.0-sd/ language: - en library_name: diffusers pipeline_tag: text-to-image tags: - text-to-image - stable-diffusion - stable-diffusion-xl - anime - game - 2.5D - illustration - fantasy - artstyle - pony --- Original model is [here](https://civitai.com/models/413979?modelVersionId=690258).

pruning/zy5g5qz

pruning

Entry not found

Krabat/Qwen-Qwen1.5-0.5B-1722640269

Krabat

peft

--- base_model: Qwen/Qwen1.5-0.5B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

Legalaz/03-Mde102419

Legalaz

Entry not found

John6666/venom-spell-v1-sdxl

John6666

diffusers

text-to-image

--- license: other license_name: faipl-1.0-sd license_link: https://freedevproject.org/faipl-1.0-sd/ language: - en library_name: diffusers pipeline_tag: text-to-image tags: - text-to-image - stable-diffusion - stable-diffusion-xl - anime - animagine - rae diffusion - pony --- Original model is [here](https://civitai.com/models/618043/venomspell?modelVersionId=690899).

John6666/white-unicorn-v3-sdxl

John6666

diffusers

text-to-image

--- license: other license_name: faipl-1.0-sd license_link: https://freedevproject.org/faipl-1.0-sd/ language: - en library_name: diffusers pipeline_tag: text-to-image tags: - text-to-image - stable-diffusion - stable-diffusion-xl - anime - cute - pony --- Original model is [here](https://civitai.com/models/371840/white-unicorn?modelVersionId=689966).

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-4h-updated

edthrth

--- language: - en --- []() read the full article here : https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-e3-updated Source : https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b Flash News : https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 Biden last Talk : https://huggingface.co/edthrth/Senate-Skips-Town-With-September-Shutdown-Deadline-Looming-da-updated Russian Ukrain Breaking News : https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 Other Sources : https://lookerstudio.google.com/reporting/d93528e1-e37a-4bee-a890-95092ae88ce7 https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-45-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 Source : https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f Flash News : https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a Biden last Talk : https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f Other Sources : https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://huggingface.co/edthrth/Harrismania-Is-it-Real-gc-updated https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://huggingface.co/edthrth/Warning-over-DWP-Household-Support-Fund-payments-as-deadline-nears-4g-updated https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_1241445424&Connector=https://unitedstatednews.com https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://groups.google.com/g/sip_js/c/hJV83Hr2MKE https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://huggingface.co/edthrth/Warning-over-DWP-Household-Support-Fund-payments-as-deadline-nears-f4-updated The report said health visitors must be given the power to trigger joint visits from social care specialists. Health visitors must be given the power to trigger joint visits from social care specialists such as drug abuse counsellors, a report has said as it warned infant services are often too focused on a child's parents. The report into provision for children up to five years old, produced by the South-West Social Mobility Commission at the University of Exeter, said the early years sector "needs to be given urgent attention". It cited a loss of childcare places, a "crisis" in recruitment and retention in both health visiting and early years provision, and a lack of resource and funding in local government. Among a series of recommendations, the report said councils should be prepared to send other social service professionals including welfare rights advisers or drug abuse counsellors on visits "so that a multi-service approach to the wider family is delivered". The report, which said health visitors should be able to trigger these joint visits, noted how often "children's services are often better understood as parent services". Interviewees said "too many of those who are involved in an infant's life do not see the child". Some said this was a negative thing as it led to services neglecting the infants, arguing that health visits which are more focused on dealing with substance addiction or domestic abuse mean little time is spent on discussions of the child's welfare. But others thought helping parents had direct, positive consequences for children, noting that lingering problems related to health and finances mean parents can be less well equipped to provide for their children, the report said. Dr Antony Mullen, the report's principal author, said: "What happens in children's earliest years of life is foundational to their future success. "Health visitors are increasingly expected to deal with parental issues like drug abuse, financial issues and domestic abuse problems. There is a danger services have become more focused on parents than the infants. "Long-term, large-scale investment in the sector is needed, and in this report we show how there are also low and no-cost solutions that can be implemented locally and relatively quickly." Former Ofsted chief Sir David Bell has endorsed the report, which involved interviews with 27 expert informants ranging from health visitors to people in local government and early years teachers, saying it "expertly binds together practice and policy to provide a series of important recommendations". The report calls for a Cabinet or deputy Cabinet member for the infant, an expansion of the number of professional psychologists working in the field of infant mental health and for local authorities to monitor the ratio of children to childcare places to allow a case to be made for additional funding to expand provision within the sector where needed. The report referenced research by the Institute of Health Visiting (iHV), published earlier this year, which found that increasing poverty is the cause of greatest concern to health visitor, with the vast majority having reported a rise in the number of families affected by the issue in past 12 months. Almost nine in 10 health visitors surveyed said they had seen an increase in the use of food banks, while half reported more families skipping meals as a result of the cost-of-living crisis, that research showed. The iHV described its research as the largest survey of frontline health visitors working with families with babies and young children across the UK. The issue of child poverty has been a challenge for the new Labour Government, with Prime Minister Sir Keir Starmer challenged last month over his refusal to immediately axe the two-child benefit cap. Seven Labour MPs were suspended by the party after backing an SNP motion to scrap the welfare measure in a vote in Parliament. The latest figures published by the Department for Work and Pensions showed there were 1.6 million children living in households affected by the policy as of April this year, up from 1.5 million to April 2023. Labour has cited spending controls as a reason for not being able to immediately ditch the policy, indicating there would be no change to the policy without economic growth. Sir David said: "A high-quality experience in the early years can have a profoundly positive effect on children, particularly those from the most disadvantaged backgrounds. "Thoughtful and well-evidenced reports such as this one will play a key role as we work together to make the United Kingdom the best place in the world to be a child and to grow up." A Government spokesperson said: "This Government sees the early years as more than just childcare; it is central to our mission to break down barriers to opportunity, create the healthiest generation of children ever and give every child the best start in life. "We're committed to working closely with sector partners and providers to support the most vulnerable and disadvantaged children and will deliver real change by integrating childcare and early years into the wider education system as a national priority."....

gportx/Llama-3.1-8B-bnb-4bit-python

gportx

transformers

text-generation

--- base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl - sft --- # Uploaded model - **Developed by:** gportx - **License:** apache-2.0 - **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-bnb-4bit This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

Legalaz/04-Mde102419

Legalaz

Entry not found

edthrth/Father-donates-13yearold-daughters-organs-after-kins-death-inspires-him-Bengaluru-Ne-2a-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae Source : https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 Flash News : https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f Biden last Talk : https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c Russian Ukrain Breaking News : https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 Other Sources : https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://huggingface.co/edthrth/HII-Hosts-Chief-of-Naval-Operations-at-Newport-News-Shipbuilding-Business-Upturn-ac-updated https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://groups.google.com/g/retro-comp/c/Qy5PpFgI6Zs https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d Bengaluru: The pain and agony of losing his 21-year-old cousin after his kidneys failed, before the finalisation of paperwork for organ donation, haunts powerloom worker Vasant Kumar from Tiptur in Tumakuru district. Fifteen years on, when his elder daughter succumbed to injuries sustained in a road accident, Kumar promptly decided to donate her organs. On July 23 evening, V Chandana, 13, daughter of Vasant and Divya, sustained serious injuries when a speeding truck rammed her on Halkurike road, Tiptur. Chandana, a class 8 student, underwent treatment at Hassan Institute of Medical Science (HIMS) but was declared brain dead on Sunday night. Amid the trauma of losing his daughter, Vasant recalled the days when he and others made desperate attempts to get a kidney for his cousin Kantaraju, who died in 2009 after battling kidney failure for six long years. "He (Kantaraju) was diagnosed with kidney issues in 2003, when he was 15. We arranged for his regular dialysis, which cost us a lot. A person known to us agreed to become the donor (for kidney replacement) but the long and tedious official work for the donation took a toll. As the papers were getting finalised, Kantaraju passed away," Vasant recalled. As Chandana lay brain dead, Vasant and his family recalled how an immediate donation could have saved Kantaraju. "As doctors declared Chandana brain dead, the first thing that came to our mind was donating her organs so someone in need would get them. We consulted the doctors and immediately donated her eyes, heart, kidney and liver," he told TOI. Dr Anupama MK, assistant professor at HIMS, said: "Harshita's organs were harvested on Monday and the valves and kidneys were dispatched to people in need through a green corridor. She will give new life to 6-8 persons. Her parents should be praised for their brave and courageous decision." "The day she met with the accident was the third birthday of my son Bhavit. Now, though Chandana is not with us any more, she is at least living through a half a dozen people," Vasant said.....

edthrth/Diplomatic-partnerships-What-do-they-mean-43-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Source : https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 Flash News : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd Biden last Talk : https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 Russian Ukrain Breaking News : https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_3433445222&Connector=https://unitedstatednews.com Other Sources : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://huggingface.co/edthrth/DeSantis-issues-emergency-declaration-for-54-Florida-counties-1c-updated https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 In June 2024, Russia and North Korea drew concern from Western governments by signing a comprehensive strategic partnership amid Russia's invasion of Ukraine. A month earlier, Chinese President Xi Jinping had visited Prime Minister Viktor Orban in Budapest to announce a comprehensive strategic partnership with Hungary, a European Union and NATO member state. And just the previous year, Vietnam elevated its ties with the United States to a comprehensive strategic partnership. But while these phrases are often used in diplomacy, their meaning can vary. Countries use terms like "strategic partnership" and "comprehensive partnership" to describe different types of diplomatic relations. While some may involve a formal treaty, these partnerships are often informal and broadly defined relationships that simply provide a general framework for bilateral cooperation. A comprehensive partnership may signal a general intent to cooperate across a broad range of issues, while strategic partnerships may have a narrower but deeper focus on particular sectors such as trade, energy or counterterrorism. A comprehensive strategic partnership, then, implies both broad-based cooperation and a commitment to specific joint pursuits. However, there is no universal international standard for how these terms are defined. That is for the individual countries to determine. Vietnam, for example, uses all three categories to indicate different tiers of bilateral relations, with comprehensive strategic partnership being the highest. Yet the fact that Vietnam maintains this status with China despite their conflicts in the South China Sea - and with both the United States and Russia despite their current standoff over Ukraine - means there are limits to how far these partnerships can go without upsetting the diplomatic balance. In the case of China and Hungary, the announcement mostly reiterated an already-existing economic relationship and a commitment to proceed with previously planned projects rather than introducing new initiatives. Russia and North Korea's partnership, on the other hand, involves a formal pact that includes guarantees of military assistance in case of attack, though some experts believe this still falls short of a direct military alliance. Other countries may use similar terms without necessarily implying a tiered approach. The United States has in the past announced strategic partnerships with countries such as India and Qatar. It also applies the term to NATO allies such as Romania, as well as other allies like Ukraine. Partnerships can even extend to organizations beyond national governments. Beyond Vietnam, the United States has established a comprehensive strategic partnership with the Association of Southeast Asian Nations - a regional grouping that also includes Indonesia, Thailand and the Philippines. And Egypt recently issued a joint announcement of a "strategic and comprehensive partnership" with the European Union as they work to address migration. In all cases, the terminology used to designate a partnership matters less than how each of the parties interprets it and what specific agreements, treaties and trade deals it entails. But although partnership announcements may be largely rhetorical, they remain important tools of diplomacy in a time of global upheaval and realignment.....

Krabat/Qwen-Qwen1.5-1.8B-1722640532

Krabat

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

joeshirey/GemmaFT

joeshirey

transformers

--- base_model: unsloth/gemma-2-9b-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - gemma2 - trl --- # Uploaded model - **Developed by:** joeshirey - **License:** apache-2.0 - **Finetuned from model :** unsloth/gemma-2-9b-bnb-4bit This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

AlignmentResearch/robust_llm_55df64b8512511ef86ffd207a4373b9e_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

AlignmentResearch/robust_llm_55cc8bfe512511efb4f14edbf2675c5e_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

edthrth/Drivers-face-permanently-high-petrol-prices-if-Reeves-raises-fuel-duty-in-Budget-hg-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf Source : https://huggingface.co/edthrth/Hezbollah-fires-rocket-barrages-at-northern-Israel-d3-updated Flash News : https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 Biden last Talk : https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 Other Sources : https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://feedbackportal.microsoft.com/feedback/idea/11dcb07f-354f-ef11-b4ad-000d3a0e6a3a https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 The AA warns any hike in fuel duty on October 30 'would hit drivers and businesses hard' DRIVERS face permanently high petrol prices if the Chancellor raises fuel duty in the Budget, the AA warns. But AA spokesman Luke Bosdet said: "The 5p-a-litre fuel duty cut has been the only bit of good news in a bleak three years of 'perma-high' pump prices. "Overall, the AA is concerned that current high prices could be made significantly worse with any hike in fuel duty in October. A Treasury spokesperson said: "Following the spending audit, the Chancellor has been clear that difficult decisions lie ahead on spending, welfare and tax to fix the foundations of our economy and address the £22bn hole in the public finances left by the last government. "Decisions on how to do that will be taken at the Budget in the round."....

edthrth/Overall-decrease-in-crime-reported-in-market-town-gf-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf Source : https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef Flash News : https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 Biden last Talk : https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf Russian Ukrain Breaking News : https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 Other Sources : https://groups.google.com/g/chromium-reviews-en-es/c/XusryOCVutg https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa https://groups.google.com/g/retro-comp/c/-FSo4VvS9zQ https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd The town's neighbourhood policing teams shared crime statistics for the last quarter at the meeting of Ringwood Town Council on Wednesday, July 31. Sergeant Chris Pell reported an 'overall decrease' in the total number of crimes in comparison to the previous quarter. The quarterly report by Ringwood South Neighbourhood Policing Team (NPT) noted there had been 44 'violence without injury' offences in the last quarter, compared to 51 in the previous. There were three 'other sexual offences' in the last quarter, compared to four in the previous, and five 'vehicle offences' in the last quarter, compared to 12 in the previous. However there had been an increase in shoplifting offences; there were 27 in the last quarter, compared to 19 in the previous. The quarterly report by Ringwood North (Poulner) NPT noted a reduction in 'criminal damage', with six offences in the last quarter, compared to 13 in the previous, and 'all other theft offences', with two in the last quarter, compared to seven in the previous. There was a slight increase in 'violence with injury' offences, with five in the last quarter, compared to four in the previous, as well as 'other sexual offences', with one in the last quarter, compared to zero in the previous. After the statistics were presented, Sergeant Pell outlined current operations and outcomes. The meeting minutes read: "He is working with local businesses to focus on shoplifting and is looking to promote the introduction of a ShopWatch scheme so that businesses can share live information. "Other issues that were discussed include use of CCTV cameras in licensed premises, the issue of noisy vehicles (which should be reported as antisocial behaviour) and the reintroduction of Police stations in some areas by the Police & Crime Commissioner (there are no current plans for Ringwood). "Sergeant Pell concluded by encouraging reporting of all crimes as the more information that is available, the easier it is to prevent and solve crimes."....

Krabat/Qwen-Qwen1.5-7B-1722640957

Krabat

peft

--- base_model: Qwen/Qwen1.5-7B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/Congressman-LaHood-says-killing-of-Hamas-leader-in-Iran-is-justified-2f-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 Source : https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a Flash News : https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f Biden last Talk : https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc Russian Ukrain Breaking News : https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 Other Sources : https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://huggingface.co/edthrth/Gershkovich-among-3-Americans-freed-in-historic-prisoner-swap-with-Russia-24-updated https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 A Central Illinois congressman says the killing of Ismail Haniyeh, the political head of the Hamas movement during a visit to Iran was justified, even though it complicates efforts to secure a ceasefire between Hamas and Israel in the war in Gaza. "Haniyeh has blood on his hands. He's been involved with almost every terrorist attack on Israel and many involving the United States over the last 20 plus years," said U.S. Rep. Darin Lahood, who sits on the House Foreign Relations Committee. "And so he is a terrorist. He needed to be taken out. The timing on these types of things is never good. But he is somebody that unfortunately deserved this type of action." Speaking on WGLT's Sound Ideas, the Peoria Republican said the top U.S. goal should still be getting all the Israeli hostages back from Hamas and achieving a cease fire. He commended countries like Egypt and Qatar for helping in the search for a resolution. "But in many ways, Hamas could have ended this a long time ago by releasing the hostages and agreeing to the terms to do that through a ceasefire. It's more complicated than folks think," said LaHood, adding he does not always agree with everything Israel does, but it remains the number one ally of the U.S. in the region. Similar killings to the Haniyeh bombing of his house in Tehran have happened over the last 10 months. So far, the region has avoided escalating to a multi-front conflict. LaHood did not directly answer a reporter's question about what he thinks about avoiding broader open hostilities. "I look at Iran as really being involved with a lot of malign activities throughout the Middle East. If you look at their support for the Houthis in Yemen, their direct support of Hamas in Gaza, their support of Hezbollah in southern Lebanon, and, of course, the Shia proxies in Iraq," said LaHood. He said Iran's religious leadership wants to "wipe the U.S. and Israel off the face of the earth." "We do not want an all-out war in the Middle East, and we should do everything to avoid that. However, when you're facing an existential threat like that and an adversary like that, who continues to engage in terrorist activity throughout the Middle East against US interests, you have to fight fire with fire," said LaHood. LaHood said the recent worldwide computer disruption caused by a software update glitch at security firm Crowdstrike is serious enough it could merit increased regulation. That's an unusual statement from the Peoria area Republican who often prefers free market solutions to problems. He said the nation is still trying to figure out the appropriate balance between safety and redundancy -- and self-regulation. "But if that's not being done appropriately and there is collateral damage that's being done to our society and to citizens, then I think you have to look at all options," said LaHood. LaHood prefers industry self-regulation, but said if there are protocols in place and the private sector doesn't abide by them, there must be consequences such as fines or punitive measures. He said the amount of money lost to consumers, disruption to the transportation system, and threats to national security created by the Crowdstrike outage should be a wakeup call for the nation. LaHood said he's pleased with a bipartisan piece of legislation covering the foster care system. LaHood and Democratic Rep. Danny Davis of Chicago crafted the Strengthening Families Act after a year of research, hearings, and input from states and experts. LaHood said among the changes is helping grandparents and other relatives take over as foster parents. "What we found is, and the studies show, if you keep children with somebody that is kin to them, a family member, a relative in some respect, that helps that child for long term success," said LaHood. He said funding mechanisms also are changing. Instead of block grants to states that come with restrictions on how the money can be spent, federal funding to the states will now favor the adoption of model programs that certain states piloted. "Ohio has been very proactive in terms of success models that they've put in place," said LaHood. "We've looked at those as ones that we think can work. We've put those out as kind of models, and also incentivized other states to follow what has worked in different states to do that in, and we think that is one way to move different states in a positive direction." LaHood said the re-authorization of Title IV-B has passed out of committee and he expects it to go to the House floor in the fall. LaHood also is receiving praise from local leaders for his help in advancing a couple key projects. Through community project funding, LaHood secured approval for $1 million to help replace the Fox Creek Road Bridge in Bloomington. "It's very important...this is a vital transportation artery for both residents and businesses in the area. It's a priority. We were proud to submit it," said LaHood. The current condition of the road presents safety hazards due to congestion, inadequate lane configurations, and outdated infrastructure, said LaHood and city staff. Part of the replacement includes widening the existing road and replacing the bridge with a structure that conforms to modern safety standards. The federal grant is half of the $2 million cost of the replacement. The Central Illinois Regional Airport also will get $1.5 million for the planned air cargo road at CIRA. "Right now, a lot of the air cargo goes through the main terminal road there. We will now build an alternative road so that heavy traffic and air cargo won't be on the same road. So, it helps with safety, but it also allows the airport to expand their air cargo business model which we think makes a lot of sense," said LaHood. The grant is about a third of the total $4.5 million cost. LaHood called it a good start. "It's going to help the private sector and private sector growth whether that's FedEx, UPS, or other companies that deal with air cargo at the airport," he said.....

ajrayman/Anger_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: Anger_continuous results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # Anger_continuous This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0555 - Rmse: 0.2356 - Mae: 0.1945 - Corr: 0.3114 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | No log | 1.0 | 268 | 0.0569 | 0.2386 | 0.1963 | 0.2881 | | 0.0637 | 2.0 | 536 | 0.0555 | 0.2356 | 0.1945 | 0.3114 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

cilantro9246/gg58suq

cilantro9246

Entry not found

Krabat/google-gemma-2b-1722641180

Krabat

peft

--- base_model: google/gemma-2b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

flodi70/fine-tune1_1000

flodi70

transformers

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. 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Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

edthrth/Worcester-officials-declare-Traffic-Violence-Crisis-amid-spike-in-pedestrian-crashes-5f-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a Source : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 Flash News : https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b Biden last Talk : https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Other Sources : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 https://lookerstudio.google.com/reporting/51736ed5-b55c-482e-ba52-d67985bff9ef https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://groups.google.com/g/retro-comp/c/9FAsvD9f5rk https://data.lacounty.gov/groups/01c879a8e36b4c9f86a9e7be7855812d https://groups.google.com/g/retro-comp/c/yjiJq2SYJXA https://huggingface.co/edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-2g-updated https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 City Manager Eric D. Batista and Mayor Joseph M. Petty are declaring a "Road Safety and Traffic Violence Crisis" in light of three recent pedestrian crashes. One of the crashes injured a child and two other collisions involved young adolescents struck by motor vehicles, according to authorities. Officials say they are developing a comprehensive strategy, expected to launch in fall 2024, to improve street safety, "aiming ultimately to eliminate all traffic fatalities and severe injuries." Dubbed the "Vision Zero Safety Action Plan," the program will identify Worcester's most dangerous street segments and intersections. From there, both near-term and long-term actions will be implemented to improve and monitor roadway safety, according to a city spokesperson. Man seriously injured after being hit by pickup truck in Worcester On Monday, a young woman was seriously injured in a pedestrian crash on Shrewsbury Street. As a result, both Belmont and Shrewsbury Street will undergo "quick response" assessments by the city's Department of Transportation and Mobility, which will be completed within 60 days. "These studies....will identify the most pressing safety issues in each corridor and identify ways to improve the safety of all users on these busy and densely populated corridors, emphasizing quick build changes that can be implemented within one year." In the interim, officials say two proposals are pending before the City Council, including reducing the statutory speed limit citywide from 30 mph to 25 mph and enabling the establishment of 20 mph Safety Zones. "Making streets safer and more accommodating for all users requires more than government actions alone," Mayor Petty and City Manager Batista said in a joint statement. "As a community, we need to work together to ensure our collective safety and well-being. We urge everyone to respect the rules of the road, slow down, watch for other road users, and exercise patience and restraint."....

Nhyira-EM/Objectdetection

Nhyira-EM

--- license: mit ---

stablediffusionapi/authhuman-pony-v4

stablediffusionapi

diffusers

text-to-image

--- license: creativeml-openrail-m tags: - modelslab.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # authhuman-pony-v4 API Inference  ## Get API Key Get API key from [ModelsLab API](http://modelslab.com), No Payment needed. Replace Key in below code, change **model_id** to "authhuman-pony-v4" Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://docs.modelslab.com) Try model for free: [Generate Images](https://modelslab.com/models/authhuman-pony-v4) Model link: [View model](https://modelslab.com/models/authhuman-pony-v4) View all models: [View Models](https://modelslab.com/models) import requests import json url = "https://modelslab.com/api/v6/images/text2img" payload = json.dumps({ "key": "your_api_key", "model_id": "authhuman-pony-v4", "prompt": "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K", "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime", "width": "512", "height": "512", "samples": "1", "num_inference_steps": "30", "safety_checker": "no", "enhance_prompt": "yes", "seed": None, "guidance_scale": 7.5, "multi_lingual": "no", "panorama": "no", "self_attention": "no", "upscale": "no", "embeddings": "embeddings_model_id", "lora": "lora_model_id", "webhook": None, "track_id": None }) headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data=payload) print(response.text) > Use this coupon code to get 25% off **DMGG0RBN**

edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-2g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef Source : https://groups.google.com/g/sip_js/c/DVk2PRW6SpM Flash News : https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 Biden last Talk : https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d Russian Ukrain Breaking News : https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 Other Sources : https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://groups.google.com/g/retro-comp/c/yDb8sQ3X1Ek https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd MONTGOMERY, Ala. (AP) -- A former corrections officer at an Alabama jail has agreed to plead guilty to a criminal charge in the death of a mentally ill man who died of hypothermia after being held naked in a concrete cell for two weeks. Federal court records show that Joshua Conner Jones entered into a plea agreement with prosecutors regarding the treatment of two inmates at the Walker County jail. Jones agreed to plead guilty to one count of conspiracy to deprive an inmate of their rights related to the 2023 death of Tony Mitchell. He also pleaded guilty to a separate rights-deprivation count related to the assault of another inmate. The plea agreement indicated there were five co-conspirators in the mistreatment that led to Mitchell's death, an indication that the investigation is ongoing and more people could be charged in the death. A defense lawyer for Jones, W Scott Brower, said he could not comment on the agreement. A spokeswoman for the U.S. attorney's office did not immediately return an email seeking comment. The plea agreement did not name the inmates, but said it involved a man who died Jan. 26, 2023, after being held in a concrete cell at the jail for two weeks. Mitchell, 33, died on Jan. 26 after being brought from the jail to a hospital emergency room with a body temperature of 72 degrees (22 degrees Celsius), according to a lawsuit filed by his mother. The plea agreement said that the man "was almost always naked, wet, cold, and covered in feces while lying on the cement floor without a mat or blanket." By the second week of incarceration, he was "largely listless and mostly unresponsive to questions from officers," but that the conspirators did not take action to alleviate his suffering. Prosecutors wrote in the plea agreement that Jones admitted that "collectively we did it. We killed him." Jon C. Goldfarb, an attorney representing the family in the civil litigation, said "the family is shocked to see in writing what they knew happened to Tony Mitchell." Mitchell, who had a history of drug addiction, was arrested Jan. 12 after a cousin asked authorities to do a welfare check on him because he was rambling about portals to heaven and hell in his home and appeared to be suffering a mental breakdown. The Walker County sheriff's office posted a photo on its Facebook page, adding that Mitchell, who had his face painted black, "brandished a handgun, and fired at least one shot at deputies" before running into the woods. Prosecutors wrote in the plea agreement that when Mitchell's deteriorating condition would be mentioned, the co-conspirators would reply that " 'he gets what he gets since he shot at cops' or words to that effect."....

ericlewis/SmolLM-1.7B-Instruct-KTO-V5

ericlewis

transformers

text-generation

--- base_model: HuggingFaceTB/SmolLM-1.7B-Instruct language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl --- # Uploaded model - **Developed by:** ericlewis - **License:** apache-2.0 - **Finetuned from model :** HuggingFaceTB/SmolLM-1.7B-Instruct This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

Krabat/Qwen-Qwen1.5-0.5B-1722641456

Krabat

peft

--- base_model: Qwen/Qwen1.5-0.5B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/Pezeshkian-Iran-to-continue-to-firmly-back-Resistance-23-updated

edthrth

--- language: - en --- []() read the full article here : https://storymaps.arcgis.com/stories/a7b016d5d0ea4baebff274733db8c40d Source : https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 Flash News : https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 Biden last Talk : https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 Other Sources : https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-2g-updated Pezeshkian made the remarks in a phone conversation on Wednesday evening with Khalil al-Hayya, a senior official of the Palestinian resistance movement Hamas, who was accompanied Martyr Ismail Haniyeh, the chairman of Hamas' Political Bureau, to Tehran to attend the inauguration of Pezashkian, before he was assassinated. The Iranian President said Martyr Haniyeh was an official guest of the president and the government of the Islamic Republic of Iran, adding that such a situation doubles the pain of losing him. For his part, al-Hayya said that the Martyrdom of Haniyeh in Tehran was Allah's expediency to once again show the interwoven relation between various elements of the Resistance. He said that when Lieutenant General Qassem Soleimani was assassinated by the United States in Baghdad on January 3, 2020, Haniyeh came to Tehran to pay respect to General Soleimani and now, the honorable Iranian people are participating in his funeral procession to pay respect to him. Haniyeh and one of his bodyguards were assassinated by the Zionist regime in Tehran in the early hours of Wednesday.....

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-ga-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 Source : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Flash News : https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 Biden last Talk : https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df Russian Ukrain Breaking News : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Other Sources : https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

MangyMango/testing

MangyMango

Entry not found

farpluto/Qwen2-1.5B-Instruct-Finetune-LoRA

farpluto

peft

Invalid username or password.

lazertorp/Qwen-Qwen1.5-7B-1722641681

lazertorp

peft

--- base_model: Qwen/Qwen1.5-7B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.11.1

Krabat/Qwen-Qwen1.5-1.8B-1722641720

Krabat

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

AlignmentResearch/robust_llm_f723bc6a512611efaa9bce3e936acc27_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

AlignmentResearch/robust_llm_f6f45826512611ef98cc7625a441a30c_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

Beniij/Hh

Beniij

--- license: openrail ---

edthrth/Cognistrong-Review-Does-It-Really-Work-as-Advertised-CovingtonMaple-Valley-Reporter-24-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a Source : https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd Flash News : https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 Biden last Talk : https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df Russian Ukrain Breaking News : https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f Other Sources : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf https://groups.google.com/g/retro-comp/c/gIBpA_DxYM4 https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_5515141431&Connector=https://unitedstatednews.com https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a https://huggingface.co/edthrth/Gershkovich-Whelan-Freed-in-LargeScale-Russian-Prisoner-Swap-f5-updated https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 In a world filled with distractions and the ongoing pressures of everyday life, it's increasingly common for individuals to experience mental fog, forgetfulness, or a decline in cognitive performance. With these challenges, the quest for effective memory enhancement supplements has gained significant traction. Among the myriad of options available, Cognistrong stands out as a promising candidate for those seeking to improve their overall brain health. This review aims to provide a detailed analysis of Cognistrong, shedding light on its ingredients, benefits, and effectiveness while helping you determine if this supplement is the right addition to your wellness routine. Cognistrong is formulated to target cognitive decline and memory issues, which are prevalent, particularly among older demographics. Studies suggest that nearly one-third of the adult population experiences some form of memory impairment. This realization has led to an increased interest in natural supplements that claim to support brain health. Cognistrong does this through its unique blend of ingredients to enhance memory, boost cognitive function, and promote overall well-being. If you or a loved one are struggling with memory issues or wish to improve your mental abilities, understanding what Cognistrong offers could be the first step toward a clearer mind and a sharper memory. Cognistrong is a dietary supplement designed to enhance memory, improve cognitive functions, and promote overall brain health. It combines a carefully chosen blend of natural ingredients synergistically supporting brain function. The formulation targets various aspects of cognitive health, including memory retention, focus, and protection against cognitive decline. It is a comprehensive solution for anyone looking to maintain or enhance their mental capabilities. The supplement is available in easy-to-swallow veggie capsules, ensuring daily use convenience. Cognistrong is marketed towards adults of all ages, particularly those who have begun to notice a decline in their cognitive abilities due to aging or lifestyle factors. The clear labeling and strong emphasis on quality ingredients in Cognistrong set it apart from many other supplements in the market, which often lack transparency regarding their formulations. Furthermore, the creators of Cognistrong have incorporated extensive research into developing this supplement, garnering attention from health professionals and consumers alike. With positive testimonials highlighting its effectiveness, Cognistrong has quickly become a popular option for those seeking to revitalize their mental acuity. This review will delve deeper into the ingredients and benefits of Cognistrong, as well as address any concerns regarding its safety and efficacy. Get started today and see the difference Cognistrong can make! The efficacy of Cognistrong lies in its thoughtfully curated blend of ingredients, each chosen for its contributions to cognitive health. Many users have consistently reported significant improvements in memory recall, attention span, and mental clarity after using Cognistrong. These results suggest that the supplement effectively addresses the underlying factors contributing to cognitive decline, including oxidative stress and inflammation. Clinical studies surrounding the primary ingredients of Cognistrong, such as turmeric and black pepper extract, have demonstrated their capacity to enhance brain function and cognition. For instance, research has shown that curcumin, the active compound in turmeric, possesses potent neuroprotective properties, aiding in the repair of damaged brain tissues. Additionally, studies on the bioavailability-boosting properties of piper nigrum have established that taking it alongside curcumin significantly enhances its absorption, resulting in more pronounced therapeutic effects. While individual results may vary, user feedback has been largely positive, with many noting a gradual yet marked improvement in mental performance over time. This cumulative effect underlines the importance of consistent use to achieve the best results. As we further explore the specific ingredients and their benefits, you'll find compelling reasons to consider Cognistrong a viable solution for your cognitive health needs. Cognistrong is crafted with powerful, scientifically backed ingredients specifically selected for their health benefits concerning brain function. Below are the key ingredients found in Cognistrong, each contributing to its overall effectiveness. Turmeric, often referred to as a superfood, contains the potent compound curcumin. This active ingredient boasts impressive antioxidant and anti-inflammatory properties, making it a staple in traditional medicine. Curcumin has been extensively studied for its ability to support brain health and enhance cognitive function. Research indicates that curcumin plays a crucial role in reducing inflammation in the brain and protecting against age-related mental decline. By promoting the health of neurons and aiding in the regeneration of brain tissue, turmeric acts as an effective natural remedy for memory loss and cognitive impairment, making it an essential ingredient in Cognistrong. Click here to visit the official website for Cognistrong >>> Piper nigrum, commonly known as black pepper, is not just a kitchen staple but a powerful ally in enhancing the effectiveness of other nutrients. It contains piperine, which significantly increases the bioavailability of curcumin and other beneficial compounds in Cognistrong. By enhancing absorption, piper nigrum ensures that your body can utilize the full potential of curcumin and other nutrients more effectively. Additionally, piper nigrum offers various health benefits, including its potential to improve cognitive functions and protect against oxidative stress. The synergy between turmeric and piper nigrum in Cognistrong exemplifies the thoughtful formulation of this supplement. Vitamins B6 and B2 (riboflavin) are essential for optimal brain function and neurotransmitter synthesis. Vitamin B6 plays a vital role in creating neurotransmitters like serotonin, dopamine, and gamma-aminobutyric acid (GABA), crucial for mood regulation, memory, and cognition. A deficiency in vitamin B6 can lead to cognitive decline and an increased risk of neurodegenerative diseases. Meanwhile, vitamin B2 is essential for energy production within brain cells, contributing to overall cognitive efficiency and mental clarity. Including these vitamins in Cognistrong reinforces its ability to support brain health and cognitive function. Vitamin D, often associated with bone health, is critically important for brain function. Research has shown that vitamin D receptors are present in the brain, indicating its role in regulating neurological processes. Adequate vitamin D levels have been linked to improved cognitive function, mood regulation, and a reduced risk of cognitive decline as we age. In Cognition, vitamin D supports overall brain health, ensuring that cognitive processes remain sharp and effective throughout life. Get Cognistrong now while it's on sale - limited time only! Vitamin K is essential for calcium regulation within the brain and bones, crucial in maintaining cognitive function. It helps prevent oxidative damage to neural cells and supports the brain's structural integrity. Recent studies have suggested a correlation between adequate vitamin K levels and improved cognitive performance. Cognistrong includes vitamin K to enhance its protective effects against cognitive decline, ensuring that your brain remains resilient against age-related challenges. Calcium is essential in bone health, but its role in brain function is equally significant. This essential mineral is crucial for neurotransmitter release and synaptic transmission, which are fundamental processes in neural communication. Adequate calcium levels are vital for maintaining cognitive function and overall brain health. By including calcium in Cognistrong, the formulation supports optimal neurotransmitter activity, enhancing cognitive efficiency and memory retention. Selenium is a trace mineral with powerful antioxidant properties that protect against cellular damage and cognitive decline. It supports immune function and has been shown to have a beneficial impact on mood and mental performance. Research indicates that adequate selenium levels may reduce the risk of developing neurodegenerative diseases like Alzheimer's. By including selenium in Cognistrong, this supplement ensures that your brain is sufficiently protected against oxidative stress while promoting overall cognitive health. Place your order today by clicking here before stock runs out! >>> Cognistrong offers many benefits related to brain health, making it a valuable addition to anyone's daily routine. Below, we explore the key benefits associated with this powerful supplement. One of Cognistrong's standout benefits is its ability to improve memory retention and recall. The combination of ingredients such as turmeric and vitamins B6 and B2 works synergistically to enhance the brain's capacity to retrieve stored information effectively. Numerous users have reported quicker recall times, better performance in remembering names or important dates, and an overall enhancement of their day-to-day cognitive functioning. This improvement is particularly beneficial for those who find their memory diminishing with age or due to stressful lifestyles. Moreover, the neuroprotective properties of curcumin in turmeric play a crucial role in repairing brain tissues and supporting cognitive pathways. As the brain heals and regenerates, users often experience fewer forgetfulness or mental blocks, enhancing their confidence in their cognitive abilities. Cognistrong empowers individuals to remain mentally sharp and engaged in their daily lives by providing these remarkable memory-enhancing properties. Cognistrong is not just about memory; it significantly boosts overall cognitive functions, including concentration, focus, and mental clarity. The synergistic effects of potent ingredients like turmeric, piper nigrum, and essential vitamins rejuvenate brain activity, promoting enhanced mental agility. Users often report a heightened ability to concentrate on tasks without experiencing fatigue or distraction, making tackling both professional and personal responsibilities easier. The cognitive-enhancing effects of Cognistrong extend to improved problem-solving abilities and creativity. The supplement fosters an environment where the brain can function at its peak, equipping users with sharper analytical skills and innovative thinking. This boost in cognitive performance is crucial, particularly in today's fast-paced world, where the capacity to think clearly and quickly is highly valued. By incorporating Cognistrong into your daily routine, you may find yourself more productive and mentally vibrant than ever before. In an age when cognitive decline is becoming increasingly common, Cognistrong offers a formidable defense against memory-related diseases. Its ingredients' powerful antioxidant properties help to repair brain tissues, reduce inflammation, and protect brain cells from damage. Research has shown that curcumin can effectively penetrate the blood-brain barrier, exerting its protective effects directly within the brain. When used consistently, Cognistrong promotes the maintenance of healthy brain function, significantly reducing the risk of developing neurodegenerative diseases such as Alzheimer's and dementia. This protective effect is significant for individuals over 40, who may be more susceptible to cognitive decline. With Cognistrong, users can take proactive steps to safeguard their mental health, ultimately enjoying a more vibrant and fulfilling life. Order your supply of Cognistrong now and start enjoying the benefits! Chronic inflammation and oxidative stress are known contributors to cognitive decline and various neurological disorders. Cognistrong is formulated with potent antioxidants, including curcumin and selenium, which combat these harmful processes in the brain. Antioxidants help neutralize free radicals, ensuring the brain remains healthy and functional. By lowering inflammation and oxidative stress levels, Cognistrong supports cognitive health and enhances overall well-being. Users may experience improved energy levels, better mood regulation, and heightened mental clarity due to reduced inflammation. This holistic approach to brain health makes Cognistrong an ideal solution for enhancing cognitive performance and overall quality of life. Cognistrong is a carefully crafted supplement that provides essential nutrients and antioxidants to support overall brain health and function. Each ingredient has been selected for its unique properties, contributing to a comprehensive approach to cognitive enhancement. As users incorporate Cognistrong into their daily routines, they can expect improved cognitive resilience, better emotional regulation, and overall mental well-being. In addition to enhancing memory and cognitive functions, the nutritional support provided by Cognistrong promotes healthy brain aging. With regular use, individuals may find themselves experiencing a sense of mental vitality often associated with youth. By investing in your brain health through Cognistrong, you're not just addressing memory problems; you're taking proactive steps to cultivate a lifelong relationship with your mental wellness. Affordability is always a crucial consideration when purchasing supplements, and Cognistrong offers a range of pricing options to accommodate different budgets. Here's a breakdown of the available packages: Place your order right here for the best prices available! Cognistrong offers free shipping on its 3 and 6-bottle packages, making it convenient for customers looking to stock up on their supplements. Additionally, Cognistrong has a generous return policy. If customers are unsatisfied with the product, they can return it within 60 days for a full refund. This customer-friendly approach ensures you can try Cognistrong with peace of mind, knowing your investment is protected. Cognistrong is formulated with natural ingredients, which generally have fewer side effects than synthetic alternatives. Most users report minimal to no adverse reactions when taking Cognistrong as directed. However, it's essential to know that individual responses to supplements can vary. Some users may experience mild digestive discomfort, especially if they have sensitivities to supplements containing turmeric or piper nigrum. It's also advisable to consult with a healthcare professional before starting any new supplement regimen, particularly for individuals with pre-existing medical conditions or those currently taking medication. Overall, Cognistrong has been well-received by the community, with most users expressing satisfaction with its effects and minimal side effects. When taken as directed, Cognistrong is considered safe for most adults seeking to improve their memory and cognitive health. Cognistrong is produced by a dedicated team of health enthusiasts and scientific researchers committed to promoting cognitive health through natural means. The creators prioritize transparency and quality, ensuring that each ingredient meets strict standards of purity and effectiveness. The manufacturing process follows good manufacturing practices (GMP) to guarantee that Cognistrong is produced safely and consistently. This dedication to quality control ensures that customers receive a product that aligns with health standards and delivers on its promises. Furthermore, the team behind Cognistrong is passionate about educating consumers on the importance of brain health and the role of nutrition in cognitive performance. Cognistrong empowers individuals to take control of their mental health and overall well-being by promoting a well-rounded approach to brain wellness. Learn more on the official website >>> Many users of Cognistrong report positive outcomes, concluding that it indeed works. The supplement's formulation is rooted in scientific research, with each ingredient selected for its proven benefits to cognitive health. Users have experienced improvements in memory, focus, and overall mental clarity after incorporating Cognistrong into their daily routines. Long-term users have noted that Cognistrong's benefits are cumulative, indicating that consistent use is key to achieving the desired results. Most users recommend allowing the supplement to take full effect for several weeks, as the brain requires time to adapt to the nutrients provided. In essence, while individual results may vary, the overwhelming consensus among users and scientific evidence supports the effectiveness of Cognistrong in enhancing cognitive health. Cognistrong operates with transparency, high-quality ingredients, and a commitment to customer satisfaction, making it highly unlikely to be a scam. The product is backed by scientific research, and numerous testimonials from satisfied customers attest to its effectiveness in enhancing memory and cognitive function. Moreover, the 60-day money-back guarantee further emphasizes the company's confidence in the product. This assurance allows consumers to try Cognistrong without financial risk, further distancing it from scams. When considering cognitive health supplements, conducting thorough research and looking for reputable brands is essential. Cognistrong's backing by positive reviews and transparent practices positions it as a credible option in a market that can sometimes be misleading. See what others are saying about Cognistrong >>> "I was skeptical at first, but Cognistrong has changed everything for me. I've noticed such a significant improvement in my memory and concentration. I can now read and retain information without feeling overwhelmed. It feels like a weight has been lifted off my shoulders!" "After using Cognistrong for about a month, I found my mental clarity increasing daily. I no longer struggle to recall names or events, and my productivity at work has skyrocketed. I can confidently say this supplement has positively impacted my life." "I was searching for a natural way to boost my memory as I constantly forgot appointments and tasks. Cognistrong has been a game-changer. Not only do I feel sharper, but my overall mood has improved. I recommend it to anyone struggling with cognitive issues!" It's important to note that dietary supplements like Cognistrong are not subject to FDA approval in the same manner as pharmaceuticals. However, the ingredients used in Cognistrong are generally recognized as safe and are manufactured in facilities that comply with good manufacturing practices (GMP). The FDA regulates dietary supplements by ensuring that products are safe and that manufacturers' claims are truthful and not misleading. While Cognistrong is not FDA-approved, its formulation and manufacturing processes adhere to strict safety standards, ensuring that consumers receive a high-quality product. Cognistrong can conveniently be purchased through its official website. This ensures that you get an authentic product while benefiting from any promotions or discounts directly from the manufacturer. Buying from the official site also guarantees that you're eligible for the 60-day money-back guarantee should you need it. To secure your supply and take advantage of bulk purchasing options, visit the official site today. In conclusion, Cognistrong is a highly effective supplement for anyone looking to improve their memory, cognitive functions, and overall brain health. With its scientifically formulated ingredients, Cognistrong provides a natural and holistic approach to combat cognitive decline and enhance mental clarity. The positive testimonials from satisfied users and a solid refund policy make it a low-risk investment in your cognitive health. Whether you are experiencing memory issues or simply seeking to maintain your cognitive capabilities as you age, Cognistrong is worth considering. The blend of potent ingredients offers a comprehensive solution to protect your brain and boost your mental performance. By choosing Cognistrong, you're taking an essential step toward a brighter, more focused future. Cognistrong is a dietary supplement to improve memory, cognitive functions, and overall brain health. It combines natural ingredients known for their cognitive enhancing properties, targeting memory retention, focus, and protection against cognitive decline. Key ingredients include turmeric, piper nigrum, vitamins B6 and B2, vitamin D, vitamin K, calcium, and selenium, all of which contribute to cognitive health. Don't wait - click here to place your order! Users typically notice improvements in memory and focus within a few weeks of consistent use. Most users report minimal side effects. However, some may experience mild digestive discomfort. Yes, Cognistrong is formulated with natural ingredients and manufactured according to strict quality standards. It is designed for adults of all ages, but those with medical conditions should consult a healthcare professional before use. Yes, Cognistrong comes with a 60-day money-back guarantee if you are not satisfied with the product. While Cognistrong is not FDA-approved, it is manufactured in compliance with good manufacturing practices (GMP) to ensure safety and quality.....