Update README.md

README.md

@@ -3,200 +3,16 @@ base_model: unsloth/Meta-Llama-3.1-8B
 library_name: peft
 ---
 
-# Model Card for Model ID
+# UltraLlama-3.1-8B 
 
-<!-- Provide a quick summary of what the model is/does. -->
+Llama 3.1 8B model trained on a high-quality magpie dataset to measure its quality:
 
 
+| Model                    | MMLU  | Hellaswag | ARC-C | GSM8K | TruthfulQA | Winogrande | IFEval | MMLU-Pro | MATH Lvl 5 | GPQA  | MuSR  | BBH   |
+| ------------------------ | ----- | --------- | ----- | ----- | ---------- | ---------- | ------ | -------- | ---------- | ----- | ----- | ----- |
+| Meta-Llama-3.1-8B        | 65.28 | 82.09     | 59.22 | 51.02 | 45.15      | 77.58      | 11.45  | 32.74    | 4.38       | 30.93 | 7.98  | 46.77 |
+| Meta-Llama-3-8B-Instruct | 65.60 | 78.79     | 61.95 | 75.28 | 51.66      | 75.77      | 47.43  | 5.87     | 7.95       | 30.11 | 37.92 | 49.04 |
+| FineLlama-3.1-8B         | 62.22 | 80.30     | 55.55 | 51.02 | 49.51      | 75.30      | 1.68   | 30.90    | 4.12       | 27.45 | 35.77 | 44.22 |
+| **UltraLlama-3.1-8B**    | 54.36 | 74.98     | 55.46 | 51.10 | 49.93      | 72.05      | 10.19  | 26.63    | 3.08       | 25.47 | 40.93 | 42.44 |
 
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
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-- **Developed by:** [More Information Needed]
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-### Model Sources [optional]
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-- **Repository:** [More Information Needed]
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-## Uses
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-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-### Direct Use
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-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-### Downstream Use [optional]
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-### Out-of-Scope Use
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-## Bias, Risks, and Limitations
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-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-[More Information Needed]
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-### Recommendations
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-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-[More Information Needed]
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-## Training Details
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-### Training Data
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-[More Information Needed]
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-### Training Procedure
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-#### Preprocessing [optional]
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-[More Information Needed]
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-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-#### Speeds, Sizes, Times [optional]
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-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-[More Information Needed]
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-## Evaluation
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-<!-- This section describes the evaluation protocols and provides the results. -->
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-### Testing Data, Factors & Metrics
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-#### Testing Data
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-[More Information Needed]
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-#### Metrics
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-### Results
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-#### Summary
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-## Model Examination [optional]
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-<!-- Relevant interpretability work for the model goes here -->
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-[More Information Needed]
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-## Environmental Impact
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-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-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).
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-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
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-- **Carbon Emitted:** [More Information Needed]
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-## Technical Specifications [optional]
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-### Model Architecture and Objective
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-[More Information Needed]
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-### Compute Infrastructure
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-[More Information Needed]
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-#### Hardware
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-#### Software
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-## Citation [optional]
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-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-**BibTeX:**
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-**APA:**
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
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-## More Information [optional]
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-## Model Card Authors [optional]
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-[More Information Needed]
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-## Model Card Contact
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-[More Information Needed]
-### Framework versions
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-- PEFT 0.12.0
+Magpie underperforms FineTome-100k. The quality looks okay, but not as good as high-quality open-source datasets.