File size: 1,202 Bytes
738ed1d |
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 |
---
library_name: transformers
license: other
license_name: qwen
license_link: https://huggingface.co/huihui-ai/Qwen2.5-72B-Instruct-abliterated/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: huihui-ai/Qwen2.5-72B-Instruct-abliterated
tags:
- chat
- abliterated
- uncensored
- mlx
- mlx-my-repo
---
# YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit
The Model [YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit](https://huggingface.co/YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit) was converted to MLX format from [huihui-ai/Qwen2.5-72B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-72B-Instruct-abliterated) using mlx-lm version **0.22.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
|