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---
language:
- en
license: other
tags:
- chat
- mlx
license_name: tongyi-qianwen-research
license_link: https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat/blob/main/LICENSE
pipeline_tag: text-generation
---
# mlx-community/Qwen1.5-1.8B-Chat-4bit
This model was converted to MLX format from [`Qwen/Qwen1.5-1.8B-Chat`]().
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen1.5-1.8B-Chat-4bit")
prompt = "hello"
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=text, verbose=True, max_tokens=200)
```
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