bg-digitalservices / text-generation updated 4 months ago

Gemma-4-26B-A4B-it-NVFP4

Name: Gemma-4-26B-A4B-it-NVFP4
Author: bg-digitalservices

First community NVFP4 quantization of google/gemma-4-26B-A4B-it — the Mixture-of-Experts variant of Gemma 4 with 25.2B total parameters and only 3.8B active per token.

Params

15.1 B

Context

—

Downloads 30d

168 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

171 K168 K

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	u8	16.4 GB	20.8 GB	⚠️ Tight — reduce context

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

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-4-26b-a4b-it-nvfp4
{
  "hf_id": "bg-digitalservices/Gemma-4-26B-A4B-it-NVFP4",
  "params_b": 15.09,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 167539,
  "vram_estimates": [
    { "quant": "u8", "gb": 20.8 }
  ],
  "updated_at": "2026-07-28T18:08:48Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Gemma4ForConditionalGeneration
Parameters: 15.1 B
Tensor type: U8
Licence: apache-2.0
First seen on the Hub: 2026-04-03
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

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M Llama-3.1-8B-Instruct 8.0 M

Appears in

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