File size: 2,357 Bytes
c45d967 efa4536 c45d967 8acfc67 c45d967 25f2c6a 8acfc67 f67dba6 94bca79 2969c26 2e28103 2969c26 2f79239 8acfc67 94bca79 4febfcc 8acfc67 7d837e2 2f79239 8acfc67 94bca79 178a3f0 8acfc67 2969c26 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
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|
```
|