Gemma 3 QAT
Collection
Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.
•
19 items
•
Updated
•
24
mlx-community/gemma-3-4b-it-qat-4bit
This model was converted to MLX format from /Volumes/T7/Models/hf-models/gemma-3-4b-it-qat-q4_0-unquantized using mlx-vlm version 0.1.25.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/gemma-3-4b-it-qat-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
- Downloads last month
- 311
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for mlx-community/gemma-3-4b-it-qat-4bit
Base model
OpenGVLab/InternVL3-1B-Pretrained
Finetuned
OpenGVLab/InternVL3-1B-Instruct