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Safetensors
Model Optimizer
gemma4
nvidia
ModelOpt
Gemma-4-31B-IT
lighthouse
quantized
NVFP4
conversational
modelopt
Instructions to use nvidia/Gemma-4-31B-IT-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
This model wasn't trained with FP4 or NVFP4
#8
by yangus87 - opened
Obviously, this model wasn't trained with FP4 or NVFP4. Its size is half that of the original model, which has FP16 accuracy. If it had been trained or compressed with FP4, it shouldn't weigh more than 20GB. This appears to be FP8 compression, not NVFP4.
Exactly, that's why I further quantized it to 18.4 GB.
Here is the model card of Gemma 4 31B Turbo ⚡️
https://huggingface.co/LilaRest/gemma-4-31B-it-NVFP4-turbo
its weired!