metadata
license: apache-2.0
base_model: Qwen/Qwen3-Embedding-8B
tags:
- transformers
- sentence-transformers
- sentence-similarity
- feature-extraction
- mlx
pipeline_tag: feature-extraction
library_name: mlx
mlx-community/Qwen3-Embedding-8B-4bit-DWQ
This model mlx-community/Qwen3-Embedding-8B-4bit-DWQ was converted to MLX format from Qwen/Qwen3-Embedding-8B using mlx-lm version 0.25.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen3-Embedding-8B-4bit-DWQ")
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)