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license: cc-by-
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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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![image of llama engineer](https://i.imgur.com/JlhW0ri.png)
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# Llama-Engineer-Evol-7B-GGML
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This is a 4-bit quantized version of [Llama-Engineer-Evol-7B](https://huggingface.co/GenerativeMagic/Llama-Engineer-Evol-7b).
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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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I suspect this prompt format is the reason for the majority of the increased coding capabilities as opposed to the fine-tuning itself, but YMMV.
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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 GPTQ.
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