Text Generation
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
Update tokenizer_config.json to adhere to the upstream version of google/gemma-4-31B-it
#18 opened 6 days ago
by
jimmymeister
fix(chat_template): backport latest Google canonical template
➕ 2
1
#16 opened about 1 month ago
by
taniguchimasaya
Model tree shows "Finetuned" instead of "Quantized"
#15 opened about 2 months ago
by
gaku-gaku
How to run this model YAML with sparkrun on NVIDIA GB10
#14 opened 2 months ago
by
Sunnypang
This model wasn't trained with FP4 or NVFP4
2
#8 opened 5 months ago
by
yangus87
1*H100 with vLLM 0.19.0 Failed
🔥 1
#7 opened 5 months ago
by
JeffreySheng
Question about q_scale / KV cache scale fallback in vLLM for Gemma-4-31B-IT-NVFP4: expected accuracy impact?
👀 5
#6 opened 5 months ago
by
Shaoqing
Why not quantize the MATRICES of Wq, Wk, Wv, Wo?
1
#5 opened 5 months ago
by
BeetSoup
这个版本对于5090单卡来说还是太大了
10
#4 opened 5 months ago
by
iwaitu
Why is this 4bit version has a 32.7 GB size?
➕ 3
20
#3 opened 5 months ago
by
alexcardo