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gte-Qwen2-1.5B-instruct-4bit-dwq

mlx-community/gte-Qwen2-1.5B-instruct-4bit-dwq
4-bit DWQ Open on Hugging Face
Parameters
1.8B
Weights (est.)
≈ 999 MB
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-Qwen2-1.5B-instruct-4bit-dwq --prompt "Hello"

Details

Base model
Alibaba-NLP/gte-Qwen2-1.5B-instruct (quantized)
Vendor
Alibaba-NLP
Task
Text generation
Quantisation
4-bit DWQ
Licence
apache-2.0
Downloads
186 in the last 30 days · 1.5K all time · 1 likes
Published
2025-05-17 · updated 2025-05-17 (1y ago)
Tags
qwen2, mteb, sentence-transformers, Qwen2, sentence-similarity, custom_code, model-index