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--- |
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datasets: |
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- ajibawa-2023/Code-290k-ShareGPT |
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language: |
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- en |
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tags: |
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- code |
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license: other |
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--- |
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**Code-290k-6.7B-Instruct** |
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This model is trained on [DeepSeek-Coder-6.7B-Instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct). I have used my existing dataset [Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT) for training purpose. |
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It is trained on around 290000 set of codes. Along with Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell, etc. code with detailed explanation is used for training purpose. |
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This model utilises Alpaca format. Besides code generation it will also give you explanation. |
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**Training:** |
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Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took 85 hours. DeepSeek-Coder codebase and DeepSpeed was used for training purpose. |
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This is a full fine tuned model. |
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Links for quantized models are given below. |
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**Exllama** |
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Exllama v2:[Link](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2) |
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Extremely thankful to [Bartowski](https://huggingface.co/bartowski) for making Quantized version of the model. |
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**Example Prompt**: |
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``` |
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This is a conversation with your helpful AI assistant. AI assistant can generate Code in various Programming Languages along with necessary explanation. |
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### Instruction: |
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{instruction} |
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### Response: |
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``` |
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You can modify above Prompt as per your requirement. I have used Alpaca format. |
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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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**Examples** |
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1. **Bayes Theorem - Python** |
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2. **Fermat's little theorem** |
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3. **The Arrhenius equation using R** |
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