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--- |
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license: other |
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license_name: qwen |
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license_link: >- |
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https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT |
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language: |
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- en |
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- zh |
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library_name: transformers |
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pipeline_tag: text-generation |
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inference: false |
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tags: |
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- llama |
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- qwen |
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- qwen1.5 |
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- qwen2 |
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--- |
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This is the LLaMAfied version of [Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) model by Alibaba Cloud. |
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The original codebase can be found at: (https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py). |
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I have made modifications to make it compatible with qwen1.5. |
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This model is converted with https://github.com/Minami-su/character_AI_open/blob/main/llamafy_qwen_v2.py |
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Usage: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer |
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tokenizer = AutoTokenizer.from_pretrained("Minami-su/Qwen1.5-7B-Chat_llamafy") |
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model = AutoModelForCausalLM.from_pretrained("Minami-su/Qwen1.5-7B-Chat_llamafy", torch_dtype="auto", device_map="auto") |
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) |
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messages = [ |
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{"role": "user", "content": "Who are you?"} |
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] |
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inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt") |
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inputs = inputs.to("cuda") |
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generate_ids = model.generate(inputs,max_length=2048, streamer=streamer) |
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``` |
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## Test |
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load in 4bit |
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``` |
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hf-causal (pretrained=Qwen1.5-7B-Chat), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8 |
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| Task |Version| Metric |Value | |Stderr| |
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|-------------|------:|--------|-----:|---|-----:| |
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|arc_challenge| 0|acc |0.4155|± |0.0144| |
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| | |acc_norm|0.4480|± |0.0145| |
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|truthfulqa_mc| 1|mc1 |0.3513|± |0.0167| |
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| | |mc2 |0.5165|± |0.0159| |
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|winogrande | 0|acc |0.6330|± |0.0135| |
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``` |
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load in 4bit |
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``` |
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hf-causal (pretrained=Qwen1.5-7B-Chat_llamafy), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8 |
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| Task |Version| Metric |Value | |Stderr| |
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|-------------|------:|--------|-----:|---|-----:| |
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|arc_challenge| 0|acc |0.4172|± |0.0144| |
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| | |acc_norm|0.4488|± |0.0145| |
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|truthfulqa_mc| 1|mc1 |0.3501|± |0.0167| |
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| | |mc2 |0.5164|± |0.0159| |
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|winogrande | 0|acc |0.6306|± |0.0136| |
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``` |
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``` |
