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pseudolab's activity

emreย 
posted an update about 3 hours ago
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having trouble with auto train
hello there this is the first time i am testing auto train with a 1.8k SFT dataset. Howevery i am not quite sure the training is going smooth. Logs seem quite confusing, token did not match can not auth, generates confusing train splits, do you know how i can check my running job properly?
what is being used for training as data?
any ideas?
Tonicย 
posted an update 17 days ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธHey there folks,

Did you know that you can use ModernBERT to detect model hallucinations ?

Check out the Demo : Tonic/hallucination-test

See here for Medical Context Demo : MultiTransformer/tonic-discharge-guard

check out the model from KRLabs : KRLabsOrg/lettucedect-large-modernbert-en-v1

and the library they kindly open sourced for it : https://github.com/KRLabsOrg/LettuceDetect

๐Ÿ‘†๐Ÿปif you like this topic please contribute code upstream ๐Ÿš€

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Tonicย 
posted an update 18 days ago
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Powered by KRLabsOrg/lettucedect-large-modernbert-en-v1 from KRLabsOrg.

Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!

### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1]( KRLabsOrg/lettucedect-large-modernbert-en-v1)
- **Organization**: [KRLabsOrg](https://huggingface.co/KRLabsOrg)
- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens
- **Task**: Token Classification / Hallucination Detection
- **Training Dataset**: [RagTruth]( wandb/RAGTruth-processed)
- **Language**: English
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.

LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
Tonicย 
posted an update about 2 months ago
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2368
๐Ÿ™‹๐Ÿปโ€โ™‚๏ธhey there folks ,

Goedel's Theorem Prover is now being demo'ed on huggingface : Tonic/Math

give it a try !
Tonicย 
posted an update about 2 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

our team made a game during the @mistral-game-jam and we're trying to win the community award !

try our game out and drop us a โค๏ธ like basically to vote for us !

Mistral-AI-Game-Jam/TextToSurvive

hope you like it !
Tonicย 
posted an update 2 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

Facebook AI just released JASCO models that make music stems .

you can try it out here : Tonic/audiocraft

hope you like it
Tonicย 
posted an update 2 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธHey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group : Tonic/Lucie-7B hope you like it ๐Ÿš€
Tonicย 
posted an update 2 months ago
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microsoft just released Phi-4 , check it out here : Tonic/Phi-4

hope you like it :-)
lunarfluย 
posted an update 4 months ago
Tonicย 
posted an update 5 months ago
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3585
๐Ÿ™‹๐Ÿปโ€โ™‚๏ธhey there folks,

periodic reminder : if you are experiencing โš ๏ธ500 errors โš ๏ธ or โš ๏ธ abnormal spaces behavior on load or launch โš ๏ธ

we have a thread ๐Ÿ‘‰๐Ÿป https://discord.com/channels/879548962464493619/1295847667515129877

if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps ๐Ÿค—๐Ÿค—๐Ÿค—
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Tonicย 
posted an update 5 months ago
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boomers still pick zenodo.org instead of huggingface ??? absolutely clownish nonsense , my random datasets have 30x more downloads and views than front page zenodos ... gonna write a comparison blog , but yeah... cringe.
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Tonicย 
posted an update 5 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ hey there folks ,

really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co/seq-to-pheno

scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
Tonicย 
posted an update 5 months ago
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hey there folks,

twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares ๐Ÿฆ™๐Ÿฆ™

Tonic/on-device-granite-3.0-1b-a400m-instruct

new granite on device instruct model demo , hope you like it ๐Ÿš€๐Ÿš€
Tonicย 
posted an update 5 months ago
Tonicย 
posted an update 6 months ago
Tonicย 
posted an update 6 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

๐ŸฆŽSalamandra release by @mvillegas and team
@BSC_CNS https://huggingface.co/BSC-LT is absolutely impressive so far !

perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.

the best part : the data was correctly licenced so it's actually future-proof!

the completions model is really creative and instruct fine tuned version is very good also.

now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.

check out ๐Ÿ‘‡๐Ÿป
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
Tonicย 
posted an update 6 months ago
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@mlabonne hey there ๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ I kinda got obsessed with your great model , and i found the endpoint for it in lambda labs, but basically i got rate limited / banned for trying to make my DPO dataset project, i was wondering if you all had an open ai compatible solution for me to make a great "thinking" sft + dpo dataset with all the splits ๐Ÿ™๐Ÿป๐Ÿ™๐Ÿป kinda desparate , it's true , but was looking forward to a nice write ups ๐Ÿš€๐Ÿš€๐Ÿš€
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