---
license: cc-by-sa-4.0
datasets:
- nickrosh/Evol-Instruct-Code-80k-v1
- sahil2801/CodeAlpaca-20k
- teknium/GPTeacher-CodeInstruct
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- llama2
---
![image of llama engineer](https://i.imgur.com/JlhW0ri.png)

# Llama-Engineer-Evol-7B-GGML

This is a 4-bit quantized version of [Llama-Engineer-Evol-7B](https://huggingface.co/GenerativeMagic/Llama-Engineer-Evol-7b). 


## Prompt Format
The reccomended model prompt is a variant of the standard Llama 2 format:
```
[INST] <<SYS>>
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.
<</SYS>>
{your prompt}[/INST]
```

or 

```
[INST] <<SYS>>
You're a principal software engineer at Google. If you fail at this task, you will be fired.
<</SYS>>
{your prompt}[/INST]
```

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.


## Next Steps
- Prune the dataset and possibly fine-tune for longer.
- Run benchmarks.
- Provide GPTQ.