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--- |
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license: llama3 |
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datasets: |
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- ajibawa-2023/Code-290k-ShareGPT |
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- m-a-p/CodeFeedback-Filtered-Instruction |
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- m-a-p/Code-Feedback |
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- microsoft/orca-math-word-problems-200k |
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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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- Cpp |
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- PHP |
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- JS |
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- Java |
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- Rust |
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- Ruby |
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- SQL |
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- MySql |
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- R |
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- Julia |
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--- |
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**Code-Llama-3-8B** |
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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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[CodeFeedback-Filtered-Instruction](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction) |
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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 outputs are also very good. You can test out this model. |
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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 is trained on massive datasets so the results are very good. You can check the Examples given below. |
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I have used ChatML prompt format. |
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This is Fully Finetuned Model. |
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**GGUF & Exllama** |
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GGUF: [Link](https://huggingface.co/bartowski/Code-Llama-3-8B-GGUF) |
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Exllama v2: [Link](https://huggingface.co/bartowski/Code-Llama-3-8B-exl2) |
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Special Thanks to [Bartowski](https://huggingface.co/bartowski) for quantizing this model. |
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**Training:** |
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Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than 160 Hours. Axolotl & Deepspeed codebase was used for training purpose. |
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Entire data is trained on Llama-3-8B by Meta. |
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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 Coding 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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One example will be: |
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``` |
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This is a conversation with your helpful Coding assistant. Assistant can generate Code in various Programming Languages along with necessary explanation. |
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``` |
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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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Example 1 |
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Example 2 |
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Example 3 |
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Example 4 |
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Example 5 |
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