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--- |
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license: apache-2.0 |
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datasets: |
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- ajibawa-2023/Code-290k-ShareGPT |
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- m-a-p/Code-Feedback |
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- microsoft/orca-math-word-problems-200k |
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- teknium/openhermes |
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language: |
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- en |
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tags: |
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- code |
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- mathematics |
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--- |
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**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). |
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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. |
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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. |
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I have used ChatML prompt format. |
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Kindly note this is qLoRA version, a rare exception. |
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**Training:** |
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Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took almost 33 Hours. Axolotl codebase was used for training purpose. |
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Entire data is trained on Mistral. |
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**Example Prompt:** |
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This model uses **ChatML** prompt format. |
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``` |
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<|im_start|>system |
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You are a helpful AI assistant.<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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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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