license: apache-2.0 | |
license_link: https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030/blob/main/LICENSE | |
language: | |
- en | |
pipeline_tag: text-generation | |
base_model: huihui-ai/QwQ-32B-Coder-Fusion-7030 | |
tags: | |
- chat | |
- abliterated | |
- uncensored | |
- mlx | |
- mlx-my-repo | |
library_name: transformers | |
# cnfusion/QwQ-32B-Coder-Fusion-7030-Q4-mlx | |
The Model [cnfusion/QwQ-32B-Coder-Fusion-7030-Q4-mlx](https://huggingface.co/cnfusion/QwQ-32B-Coder-Fusion-7030-Q4-mlx) was converted to MLX format from [huihui-ai/QwQ-32B-Coder-Fusion-7030](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030) using mlx-lm version **0.19.2**. | |
## Use with mlx | |
```bash | |
pip install mlx-lm | |
``` | |
```python | |
from mlx_lm import load, generate | |
model, tokenizer = load("cnfusion/QwQ-32B-Coder-Fusion-7030-Q4-mlx") | |
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) | |
``` | |