README.md

---
license: other
license_name: qwen
license_link: >-
  https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
language:
- en
- zh
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- qwen
---

This is the LLaMAfied version of [Qwen-14B-Chat](https://huggingface.co/Qwen/Qwen-14B-Chat) model by Alibaba Cloud.

This model is converted with https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py

The tokenizer is borrowed from https://huggingface.co/CausalLM/72B-preview-llamafied-qwen-llamafy

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

- **Developed by:** Alibaba Cloud.
- **Language(s) (NLP):** Chinese/English
- **License:** [Tongyi Qianwen License](https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT)

Usage:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer

tokenizer = AutoTokenizer.from_pretrained("hiyouga/Qwen-14B-Chat-LLaMAfied")
model = AutoModelForCausalLM.from_pretrained("hiyouga/Qwen-14B-Chat-LLaMAfied", torch_dtype="auto", device_map="auto")
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

query = (
    "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n"
    "<|im_start|>user\nWho are you?<|im_end|>\n"
    "<|im_start|>assistant\n"
)
inputs = tokenizer([query], return_tensors="pt")
inputs = inputs.to("cuda")
generate_ids = model.generate(**inputs, eos_token_id=[151643, 151645], max_new_tokens=256, streamer=streamer)
```

You could also alternatively launch a CLI demo by using the script in [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)

```bash
python src/cli_demo.py --template qwen --model_name_or_path hiyouga/Qwen-14B-Chat-LLaMAfied
```