---
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)

```