|
--- |
|
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 |
|
inference: false |
|
tags: |
|
- llama |
|
- qwen |
|
- qwen1.5 |
|
- qwen2 |
|
--- |
|
This is the LLaMAfied version of [Qwen1.5-0.5B-Chat](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat) model by Alibaba Cloud. |
|
The original codebase can be found at: (https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py). |
|
I have made modifications to make it compatible with qwen1.5. |
|
This model is converted with https://github.com/Minami-su/character_AI_open/blob/main/llamafy_qwen_v2.py |
|
|
|
Usage: |
|
|
|
```python |
|
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer |
|
tokenizer = AutoTokenizer.from_pretrained("Minami-su/Qwen1.5-0.5B-Chat_llamafy") |
|
model = AutoModelForCausalLM.from_pretrained("Minami-su/Qwen1.5-0.5B-Chat_llamafy", torch_dtype="auto", device_map="auto") |
|
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) |
|
|
|
messages = [ |
|
{"role": "user", "content": "Who are you?"} |
|
] |
|
inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt") |
|
inputs = inputs.to("cuda") |
|
generate_ids = model.generate(inputs,max_length=2048, streamer=streamer) |
|
|
|
``` |
|
|
|
|
|
|
|
## Test |
|
|
|
|
|
load in 4bit |
|
``` |
|
hf-causal (pretrained=Qwen1.5-0.5B-Chat), limit: None, provide_description: False, num_fewshot: 0, batch_size: 32 |
|
| Task |Version| Metric |Value | |Stderr| |
|
|-------------|------:|--------|-----:|---|-----:| |
|
|arc_challenge| 0|acc |0.2389|± |0.0125| |
|
| | |acc_norm|0.2688|± |0.0130| |
|
|truthfulqa_mc| 1|mc1 |0.2534|± |0.0152| |
|
| | |mc2 |0.4322|± |0.0151| |
|
|winogrande | 0|acc |0.5564|± |0.0140| |
|
|
|
``` |
|
|
|
load in 4bit |
|
``` |
|
hf-causal (pretrained=Qwen1.5-0.5B-Chat_llamafy), limit: None, provide_description: False, num_fewshot: 0, batch_size: 32 |
|
| Task |Version| Metric |Value | |Stderr| |
|
|-------------|------:|--------|-----:|---|-----:| |
|
|arc_challenge| 0|acc |0.2398|± |0.0125| |
|
| | |acc_norm|0.2705|± |0.0130| |
|
|truthfulqa_mc| 1|mc1 |0.2534|± |0.0152| |
|
| | |mc2 |0.4322|± |0.0151| |
|
|winogrande | 0|acc |0.5556|± |0.0140| |
|
``` |
|
|
|
|