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---
base_model: Qwen/Qwen2.5-3B-Instruct
language:
- en
library_name: transformers
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- mlx
---
# TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba
The Model [TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba](https://huggingface.co/TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba) was
converted to MLX format from [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
using mlx-lm version **0.20.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba")
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)
```