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

gemma-4-26B-A4B-it

Hugging Face GitHub Launch Blog Documentation Technical Report License: Apache 2.0 Authors: Google DeepMind

Params
26.5 B
Context
—
Downloads 30d
11.7 M
Likes
1,354
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days
13.0 M11.7 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.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors bf16 51.6 GB 61.3 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
26.5 B
Tensor type
BF16
Licence
apache-2.0
First seen on the Hub
2026-03-11
Base model
gemma-4-26B-A4B
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 google 865 K Derivative gemma-4-26B-A4B-it-AWQ-4bit cyankiwi 3.7 M Derivative Gemma-4-26B-A4B-NVFP4 nvidia 1.5 M Derivative gemma-4-26B-A4B-it-GGUF unsloth 1.4 M Derivative gemma-4-26B-A4B-it-FP8-dynamic RedHatAI 1.2 M Derivative gemma-4-26B-A4B-it-NVFP4 RedHatAI 897 K
Compare with
Qwen3.5-9B 12.4 M gemma-4-31B-it 11.9 M Qwen3.6-35B-A3B-FP8 8.9 M Qwen3.6-27B-FP8 7.8 M Qwen3.6-27B 7.0 M Qwen3.6-35B-A3B 5.9 M
Appears in
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