Gemma-4-26B-A4B-NVFP4
Gemma 4 26B IT is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output. It is designed to deliver frontier-level performance for reasoning, agentic workflows, coding, and multimodal understanding on consumer GPUs and workstations, with a 256K-token context window and support for over 140 languages. The model uses a hy...
Params
14.4 B
Context
—
Downloads 30d
1.7 M
Likes
169
Download history
daily snapshots · 106 days
▲ 881 K in the last 30 days (102.1%)
1.7 M842 K
Oct 12Oct 22Nov 1Nov 10
1.9 M842 K
Aug 13Sep 12Oct 12Nov 10
1.9 M842 K
Jul 28Sep 1Oct 6Nov 10
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 | 18.8 GB | 23.3 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 -s https://aimodelscomparison.com/api/v1/models/gemma-4-26b-a4b-nvfp4
{
"hf_id": "nvidia/Gemma-4-26B-A4B-NVFP4",
"params_b": 14.39,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 1744574,
"vram_estimates": [
{ "quant": "u8", "gb": 23.3 }
],
"updated_at": "2026-07-28T18:03:31Z"
}
Specifications
- Architecture
- Gemma4ForConditionalGeneration
- Parameters
- 14.4 B
- Tensor type
- U8
- Licence
- apache-2.0
- First seen on the Hub
- 2026-05-01
- 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.
Compare with any text-generation model