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license: apache-2.0
base_model: Qwen/Qwen3-Reranker-4B
library_name: transformers
pipeline_tag: text-ranking
tags:
- mlx
---
# Lipdog/Qwen3-Reranker-4B-mlx-fp16
The Model [Lipdog/Qwen3-Reranker-4B-mlx-fp16](https://huggingface.co/Lipdog/Qwen3-Reranker-4B-mlx-fp16) was converted to MLX format from [Qwen/Qwen3-Reranker-4B](https://huggingface.co/Qwen/Qwen3-Reranker-4B) using mlx-lm version **0.28.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Lipdog/Qwen3-Reranker-4B-mlx-fp16")
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)
```
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