README.md

metadata

license: apache-2.0
base_model: Qwen/Qwen3-Embedding-0.6B
tags:
  - transformers
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - mlx
library_name: mlx
pipeline_tag: text-generation

mlx-community/Qwen3-Embedding-0.6B-4bit-DWQ

This model kerncore/Qwen3-Embedding-0.6B-MXL-4bit was converted to MLX format from Qwen/Qwen3-Embedding-0.6B using mlx-lm version 0.24.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("kerncore/Qwen3-Embedding-0.6B-MXL-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)