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vrfai/gemma-4-31B-it-fp8
gemma-4-31B-it-fp8 is a text generation model from vrfai. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
FP8 quantized version of google/gemma-4-31B-it (31B params, server model). Produced and maintained by vrfai.
Downloads · 30 days
309
13% of all-time downloads
All-time downloads
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31.3B
75.1 GB on disk
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How the weights are stored.
F8_E4M320.8B · 67%
From the Hugging Face model README
FP8 quantized version of google/gemma-4-31B-it (31B params, server model). Produced and maintained by vrfai.
This model was quantized using NVIDIA ModelOpt with the following configurations:
| Property | Value |
|---|---|
| Base model | google/gemma-4-31B-it |
| Quant method | NVIDIA ModelOpt (FP8 E4M3 - num_bits: (4, 3)) |
| Weight scheme | Per-channel (axis: 0) |
| Input activation | Dynamic Per-token (type: dynamic) |
| Calibration algorithm | max |
You can deploy this model using vLLM with the modelopt quantization backend. Please ensure you refer to the vLLM documentation for Gemma 4 for advanced serving options.
vllm serve vrfai/gemma-4-31B-it-fp8
--quantization modelopt \
--max-model-len 32768 \
--max-num-seqs 128 \
--max-num-batched-tokens 8192 \
--gpu-memory-utilization 0.95 \
--kv-cache-dtype fp8 \
--enable-prefix-caching \
--enable-auto-tool-choice \
--reasoning-parser gemma4 \
--tool-call-parser gemma4 \
--async-scheduling \
--trust-remote-code