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Update README.md
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README.md
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license: cc-by-nc-nd-4.0
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---
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---
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license: cc-by-nc-nd-4.0
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language:
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- en
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tags:
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- code
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---
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**Code-13B**
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Large Language Models (LLMs) are good with code generations. Sometimes they do make mistakes in code generation. How about if they can give detailed explanation along with the code.
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This is what I have tried over here. The base Llama-2 model was used for training purpose. It is trained on around 74000 set of codes. Each set having 2 conversations.
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Along with Python, Java, JavaScript, GO, C++, Rust etc. code with detailed explanation is used for training purpose. It is built upon using my existing Dataset [Python-Code-23k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Python-Code-23k-ShareGPT).
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This conversation is in Vicuna/ShareGPT format. Each set, along with code, has detailed explanation.
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I have released the new [data](https://huggingface.co/datasets/ajibawa-2023/Python-Code-23k-ShareGPT).
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**Training:**
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Entire dataset was trained on Azure 4 x A100 80GB. For 3 epoch, training took 42 hours. DeepSpeed codebase was used for training purpose. This was trained on Llama-1 by Meta.
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This is a full fine tuned model. Links for quantized models will be released soon.
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**GPTQ GGUF & AWQ**
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GPTQ: TBA
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GGUF: TBA
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AWQ: TBA
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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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Context
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You are a helpful AI assistant.
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USER: <prompt>
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ASSISTANT:
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```
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You can modify above Prompt as per your requirement. I have used ShareGPT/Vicuna format v1.1 .
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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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1. Navier-Stokes Equation Solver
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2. KSC Complexity
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3. GO
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