---
language:
- en
- zh
tags:
- qwen
- llama
- llama-2
---
[WIP]

Origin repository [JosephusCheung/Qwen-LLaMAfied-7B-Chat](https://huggingface.co/JosephusCheung/Qwen-LLaMAfied-7B-Chat).


This is the LLaMAfied version of [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat), recalibrated to fit the original LLaMA/LLaMA-2-like model structure.

You can use LlamaForCausalLM for model inference, which is the same as LLaMA/LLaMA-2 models.

I converted the tokenizer from tiktoken format to huggingface format, so you do not need to allow external codes when loading anymore.

The model has been edited to be white-labelled, meaning the model will no longer call itself a Qwen.

SPOILOR: Further finetuning is in progress, the current version is a work-in-progress, some knowledge may be biased and illusory due to structural changes. Will be updated very, very sooooooooooon.

PROMPT FORMAT: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)

CURRENT MMLU: 50.36

Issue: Compared to the original Qwen-Chat scoring 53.9, the MMLU score dropped slightly (-3.54) due to insufficient realignment.

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_vonjack__Qwen-LLaMAfied-HFTok-7B-Chat)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 48.51   |
| ARC (25-shot)         | 50.51          |
| HellaSwag (10-shot)   | 83.65    |
| MMLU (5-shot)         | 51.53         |
| TruthfulQA (0-shot)   | 44.23   |
| Winogrande (5-shot)   | 71.43   |
| GSM8K (5-shot)        | 2.5        |
| DROP (3-shot)         | 35.7         |