---
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
language:
- en
base_model: jaimef21/security-lora-qwen2.5-coder-3b-bf16
pipeline_tag: text-generation
library_name: mlx
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- mlx
---

# jaimef21/security-lora-qwen2.5-coder-3b-mlx

This model [jaimef21/security-lora-qwen2.5-coder-3b-mlx](https://huggingface.co/jaimef21/security-lora-qwen2.5-coder-3b-mlx) was
converted to MLX format from [jaimef21/security-lora-qwen2.5-coder-3b-bf16](https://huggingface.co/jaimef21/security-lora-qwen2.5-coder-3b-bf16)
using mlx-lm version **0.31.3**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("jaimef21/security-lora-qwen2.5-coder-3b-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```