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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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--- |
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This is the LLaMAfied version of [Qwen-14B-Chat](https://huggingface.co/Qwen/Qwen-14B-Chat) model by Alibaba Cloud. |
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This model is converted with https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py |
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The tokenizer is borrowed from https://huggingface.co/CausalLM/72B-preview-llamafied-qwen-llamafy |
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You may use this model for fine-tuning in downstream tasks, we recommend using our efficient fine-tuning toolkit. https://github.com/hiyouga/LLaMA-Factory |
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- **Developed by:** Alibaba Cloud. |
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- **Language(s) (NLP):** Chinese/English |
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- **License:** [Tongyi Qianwen License](https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT) |
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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("hiyouga/Qwen-14B-Chat-LLaMAfied") |
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model = AutoModelForCausalLM.from_pretrained("hiyouga/Qwen-14B-Chat-LLaMAfied", 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, eos_token_id=[151643, 151645], max_new_tokens=256, streamer=streamer) |
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``` |
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You could also alternatively launch a CLI demo by using the script in [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |
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```bash |
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python src/cli_demo.py --template qwen --model_name_or_path hiyouga/Qwen-14B-Chat-LLaMAfied |
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``` |
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