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Gemopus-4-E4B-it-MLX-4bit
Nicoesp/Gemopus-4-E4B-it-MLX-4bit
Gemopus-4-E4B-it-MLX-4bit is a machine learning model from Nicoesp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as gemma.
This is a 4-bit quantization of Jackrong/Gemopus-4-E4B-it converted to MLX format.
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599
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7.5B
4.3 GB on disk
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.safetensors4.2 GB · 99%
Parameter types
How the weights are stored.
U327.5B · 100%
Model card
From the Hugging Face model README
Gemopus-4-E4B-it-MLX-4bit
This is a 4-bit quantization of Jackrong/Gemopus-4-E4B-it converted to MLX format.
Optimization Details
- Quantization: 4-bit
- Framework: MLX
- Hardware used for conversion: MacBook Air M3/M4
Performance on MacBook Air
- Generation Speed: ~35 tokens/sec
- Memory Usage: ~4.3 GB
Usage
pip install mlx-lm
python -m mlx_lm.generate --model Nicoesp/Gemopus-4-E4B-it-MLX-4bit --prompt "Ciao!"
- Library
- mlx
- Type
- gemma4
- License
- gemma
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026