Downloads · 30 days
62
23% of all-time downloads
Qwen3-Embedding-4B-4bit-DWQ
hudsonai-app/Qwen3-Embedding-4B-4bit-DWQ
Qwen3-Embedding-4B-4bit-DWQ is a feature extraction model from hudsonai-app. Use it when you need embeddings to search or compare text. It is set up for mlx. The card lists the license as apache-2.0.
This model mlx-community/Qwen3-Embedding-4B-4bit-DWQ was converted to MLX format from Qwen/Qwen3-Embedding-4B using mlx-lm version 0.24.0.
All-time downloads
275
Public
Parameters
4B
2.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.3 GB · 99%
Parameter types
How the weights are stored.
U324B · 100%
Base models
Model card
From the Hugging Face model README
mlx-community/Qwen3-Embedding-4B-4bit-DWQ
This model mlx-community/Qwen3-Embedding-4B-4bit-DWQ was converted to MLX format from Qwen/Qwen3-Embedding-4B using mlx-lm version 0.24.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen3-Embedding-4B-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)
- Task
- Feature Extraction
- Library
- mlx
- Type
- qwen3
- License
- apache-2.0
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026