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| license: apache-2.0 |
| datasets: |
| - ajibawa-2023/Code-290k-ShareGPT |
| - m-a-p/Code-Feedback |
| - microsoft/orca-math-word-problems-200k |
| - teknium/openhermes |
| language: |
| - en |
| tags: |
| - code |
| - mathematics |
| --- |
| |
| **Code-Mistral-7B** |
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| This Model is trained on refined version of my dataset [Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT). |
| Besides this it is trained on following datasets: |
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| [Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback) |
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| [orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) |
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| [Openhermes](https://huggingface.co/datasets/teknium/openhermes) |
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| The idea was to check how this Model will perform with both Code & Maths datasets. This model is very good with Coding. |
| Maths is still hit & miss but you can test out this model. |
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| This Model is trained on massive datasets so the results are very good. |
| I have used ChatML prompt format. |
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| Kindly note this is qLoRA version, a rare exception. |
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| **Training:** |
| Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took almost 33 Hours. Axolotl codebase was used for training purpose. |
| Entire data is trained on Mistral. |
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| **Example Prompt:** |
| This model uses **ChatML** prompt format. |
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| ``` |
| <|im_start|>system |
| You are a helpful AI assistant.<|im_end|> |
| <|im_start|>user |
| {prompt}<|im_end|> |
| <|im_start|>assistant |
| |
| ``` |
| You can modify above Prompt as per your requirement. |
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| I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development. |
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| Thank you for your love & support. |
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| **Example Output** |
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| **C++** |
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| **Error Resolving** |
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| **Matrices** |
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| **Machine Learning** |
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