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--- |
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license: cc-by-sa-4.0 |
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datasets: |
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- nickrosh/Evol-Instruct-Code-80k-v1 |
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- sahil2801/CodeAlpaca-20k |
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- teknium/GPTeacher-CodeInstruct |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- code |
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- llama2 |
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--- |
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# Llama-Engineer-Evol-7B |
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This is a version of Meta's [chat instruction-tuned Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) further fine-tuned on over 80,000 coding samples. |
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The dataset is a combination of [Evol-Instruct-Code-80k-v1](https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1) from [nikrosh](https://huggingface.co/nickrosh), a replication of the Evol-Instruct-Code as described in the [WizardCoder](https://arxiv.org/pdf/2306.08568.pdf) paper, and [Teknium](https://huggingface.co/teknium)'s [GPTeacher](https://github.com/teknium1/GPTeacher/blob/main/Codegen/codegen-instruct.json). Special thanks to these folks for putting these datasets together. |
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Our fine-tuning process involved learning QLoRA weights for over 6 hours on a single A100. We merged the adapter weights into the pre-trained model. |
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## Prompt Format |
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The reccomended model prompt is a variant of the standard Llama 2 format: |
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``` |
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[INST] <<SYS>> |
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You are a programming assistant. Always answer as helpfully as possible. Be direct in your response and get to the answer right away. Responses should be short. |
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<</SYS>> |
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{your prompt}[/INST] |
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``` |
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## Next Steps |
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- Prune the dataset and possibly fine-tune for longer. |
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- Run benchmarks. |
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- Provide GGML and GPTQ. |
