RedHatAI / image-text-to-text updated 1 month ago

gemma-4-31B-it-FP8-block

Name: gemma-4-31B-it-FP8-block
Author: RedHatAI

- Model Architecture: Gemma4ForConditionalGeneration - Input: Text / Image - Output: Text - Model Optimizations: - Weight quantization: FP8 - Activation quantization: FP8 - Release Date: 2026-04-04 - Version: 1.0 - Model Developers: RedHatAI

Params

31.3 B

Context

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Downloads 30d

936 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 55 days

▲ 960 K in the last 30 days (50.6%)

5.7 M936 K

Jul 28Aug 15Sep 2Sep 20

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f8_e4m3	33.3 GB	41.8 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: Gemma4ForConditionalGeneration
Parameters: 31.3 B
Tensor type: F8_E4M3
Licence: apache-2.0
First seen on the Hub: 2026-04-03
Base model: gemma-4-31B-it
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base gemma-4-31B-it google 9.1 M

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