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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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language: |
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- en |
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tags: |
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- code |
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- Python |
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- C++ |
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- Rust |
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- Ruby |
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- Sql |
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- R |
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- Julia |
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--- |
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**Code-Jamba-v0.1** |
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This model is trained upon my dataset [Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT) and [Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback). It is finetuned on Jamba-v0.1 . |
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It is very very good in Code generation in various languages such as **Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell**, etc.. |
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This model will also generate detailed explanation/logic behind each code. |
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This model uses ChatML prompt format. |
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**Training** |
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Entire dataset was trained on **2 x H100** 94GB. For 3 epoch, training took **162 hours**. Axolotl along with DeepSpeed codebase was used for training purpose. This was trained on Jamba-v0.1 by AI21Labs. |
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This is a qlora model. Links for quantized models will be updated very soon. |
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**GPTQ, GGUF, AWQ & Exllama** |
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GPTQ: TBA |
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GGUF: TBA |
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AWQ: TBA |
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Exllama v2: TBA |
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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 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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Coming soon! |
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