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---
language:
- en
- zh
tags:
- qwen
- llama
- llama-2
---
[WIP]
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 LlamaCausalLM for model inference, which is the same as LLaMA/LLaMA-2 models (the tokenizer remains the same, so you still need to allow external codes when loading, eg: `AutoTokenizer.from_pretrained(llama_model_path, use_fast=False, trust_remote_code=True)`).
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: stem ACC: 43.12 Humanities ACC: 45.147 other ACC: 56.40 social ACC: 57.96 AVERAGE ACC:49.61
[在制品]
这是 [通义千问 Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) 的 LLaMA 化版本,经过重新校准以适应原始的类似 LLaMA/LLaMA-2 的模型结构。
您可以使用 LlamaCausalLM 进行模型推理,和 LLaMA/LLaMA-2 保持一致(分词器保持不变,因此加载时仍然需要允许外部代码,例如:`AutoTokenizer.from_pretrained(llama_model_path, use_fast=False, trust_remote_code=True)`)。
剧透: 进一步的微调正在进行中,当前版本是一个正在进行的工作,一些知识可能由于结构变化而产生偏见和幻觉。 会更新,很快,非常非常非常快。
PROMPT 格式: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)
当前的 MMLU: stem ACC: 43.12 Humanities ACC: 45.15 other ACC: 56.40 social ACC: 57.96 AVERAGE ACC:49.61