4-bit DWQ Open on Hugging Face
Parameters
7.6B
Weights (est.)
≈ 4.3 GB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ --prompt "Hello"
Details
- Base model
- Alibaba-NLP/gte-Qwen2-7B-instruct (quantized)
- Vendor
- Alibaba-NLP
- Task
- Text generation
- Quantisation
- 4-bit DWQ
- Licence
- apache-2.0
- Downloads
- 96 in the last 30 days · 3.9K all time · 3 likes
- Published
- 2025-05-07 · updated 2025-05-07 (1y ago)
- Tags
- qwen2, mteb, sentence-transformers, Qwen2, sentence-similarity, custom_code, model-index