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mku64/Qwen3-Reranker-0.6B-mlx-8Bit
Qwen3-Reranker-0.6B-mlx-8Bit is a text ranking model from mku64. Use it for the text ranking task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
The Model mku64/Qwen3-Reranker-0.6B-mlx-8Bit was converted to MLX format from Qwen/Qwen3-Reranker-0.6B using mlx-lm version 0.26.3.
Downloads · 30 days
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.safetensors633 MB · 98%
How the weights are stored.
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From the Hugging Face model README
The Model mku64/Qwen3-Reranker-0.6B-mlx-8Bit was converted to MLX format from Qwen/Qwen3-Reranker-0.6B using mlx-lm version 0.26.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mku64/Qwen3-Reranker-0.6B-mlx-8Bit")
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)