Update README.md

README.md

@@ -1,13 +1,19 @@
 ---
-library_name: transformers
-tags: []
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
 ---
 
-# Model Card for Model ID
+
+# llama-3-neural-chat-v2.2-8b
 
 <!-- Provide a quick summary of what the model is/does. -->
 
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6437292ecd93f4c9a34b0d47/6XQuhjWNr6C4RbU9f1k99.png)
+
+
 
 ## Model Details
 
@@ -15,185 +21,54 @@ tags: []
 
 <!-- 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.
+I fine-tuned llama-3 8B on an approach similar to Intel's neural chat language model. I have slightly modified the data sources so it is stronger in coding, math, and writing. I use both SFT and DPO.
 
-- **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]
+- **Developed by:** Locutusque
+- **Model type:** Built with Meta Llama 3
+- **Language(s) (NLP):** Many?
+- **License:** Llama 3 license https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE
 
-### Model Sources [optional]
+## Quants
 
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+coming soon
 
 ## 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. -->
+This model has great performance in writing, coding, and math.
 
-[More Information Needed]
+## Training Data
+Recipe information will be coming soon. This language model's recipe is similar to Intel's Neural Chat.
 
-#### 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]
+### Direct Use
 
-## Model Card Contact
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
+Conversational AI.
+
+## Evaluations
+
+|              Tasks              |Version|     Filter     |n-shot|  Metric   |Value |   |Stderr|
+|---------------------------------|-------|----------------|-----:|-----------|-----:|---|-----:|
+|truthfulqa_mc2                   |      2|none            |     0|acc        |0.5232|±  |0.0151|
+|gsm8k                            |      3|strict-match    |     5|exact_match|0.5974|±  |0.0135|
+|                                 |       |flexible-extract|     5|exact_match|0.5974|±  |0.0135|
+|agieval_nous                     |N/A    |none            |     0|acc_norm   |0.3841|±  |0.0094|
+|                                 |       |none            |     0|acc        |0.3802|±  |0.0094|
+| - agieval_aqua_rat              |      1|none            |     0|acc        |0.2598|±  |0.0276|
+|                                 |       |none            |     0|acc_norm   |0.2520|±  |0.0273|
+| - agieval_logiqa_en             |      1|none            |     0|acc        |0.3441|±  |0.0186|
+|                                 |       |none            |     0|acc_norm   |0.3687|±  |0.0189|
+| - agieval_lsat_ar               |      1|none            |     0|acc        |0.2217|±  |0.0275|
+|                                 |       |none            |     0|acc_norm   |0.2348|±  |0.0280|
+| - agieval_lsat_lr               |      1|none            |     0|acc        |0.3882|±  |0.0216|
+|                                 |       |none            |     0|acc_norm   |0.3824|±  |0.0215|
+| - agieval_lsat_rc               |      1|none            |     0|acc        |0.4944|±  |0.0305|
+|                                 |       |none            |     0|acc_norm   |0.5019|±  |0.0305|
+| - agieval_sat_en                |      1|none            |     0|acc        |0.6650|±  |0.0330|
+|                                 |       |none            |     0|acc_norm   |0.6553|±  |0.0332|
+| - agieval_sat_en_without_passage|      1|none            |     0|acc        |0.3981|±  |0.0342|
+|                                 |       |none            |     0|acc_norm   |0.3981|±  |0.0342|
+| - agieval_sat_math              |      1|none            |     0|acc        |0.3500|±  |0.0322|
+|                                 |       |none            |     0|acc_norm   |0.3318|±  |0.0318|