metadata

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

Llama-Engineer-Evol-7B

This is a version of Meta's chat instruction-tuned Llama 2 further fine-tuned on over 80,000 coding samples.

The dataset is a combination of Evol-Instruct-Code-80k-v1 from nikrosh, a replication of the Evol-Instruct-Code as described in the WizardCoder paper, and Teknium's GPTeacher. Special thanks to these folks for putting these datasets together.

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.

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]

Next Steps

Prune the dataset and possibly fine-tune for longer.
Run benchmarks.
Provide GGML and GPTQ.