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---
library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE
pipeline_tag: text-generation
base_model: Qwen/Qwen3-1.7B
tags:
- mlx
---
# lmstudio-community/Qwen3-1.7B-MLX-4bit
This model [lmstudio-community/Qwen3-1.7B-MLX-4bit](https://huggingface.co/lmstudio-community/Qwen3-1.7B-MLX-4bit) was
converted to MLX format from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B)
using mlx-lm version **0.24.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("lmstudio-community/Qwen3-1.7B-MLX-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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