README.md

---
license: apache-2.0
base_model: Qwen/Qwen3-Reranker-0.6B
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
---

# kerncore/Qwen3-Reranker-0.6B-MLX-4bit

This model [kerncore/Qwen3-Reranker-0.6B-MLX-4bit](https://huggingface.co/kerncore/Qwen3-Reranker-0.6B-MLX-4bit) was
converted to MLX format from [Qwen/Qwen3-Reranker-0.6B](https://huggingface.co/Qwen/Qwen3-Reranker-0.6B)
using mlx-lm version **0.25.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("kerncore/Qwen3-Reranker-0.6B-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)
```