RedHatAI / image-text-to-text updated 2 weeks ago

gemma-4-26B-A4B-it-FP8-dynamic

Name: gemma-4-26B-A4B-it-FP8-dynamic
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

26.6 B

Context

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Downloads 30d

1.2 M

Likes

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

Download history

daily snapshots · 10 days

1.5 M1.2 M

Jul 28Jul 31Aug 3Aug 6

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	28.6 GB	36.0 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: 26.6 B
Tensor type: F8_E4M3
Licence: apache-2.0
First seen on the Hub: 2026-04-06
Base model: gemma-4-26B-A4B-it
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base gemma-4-26B-A4B-it google 11.7 M

Compare with

Qwen3.5-9B 12.4 M gemma-4-31B-it 11.9 M gemma-4-26B-A4B-it 11.7 M Qwen3.6-35B-A3B-FP8 8.9 M Qwen3.6-27B-FP8 7.8 M Qwen3.6-27B 7.0 M

Appears in

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