autotrust / text-classification Open weights updated 1 week ago

GEV-26B-Decide

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Params
25.8 B
Context
—
Downloads 30d
1.2 M
Likes
292
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 20 days
1.2 M310 K
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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 51.9 GB 61.4 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
25.8 B
Tensor type
BF16
Licence
apache-2.0
First seen on the Hub
2026-10-02
Base model
gemma-4-26B-A4B-it
Training datasets
undisclosed
Decision Index suite 0.2 (edition 0.2.1) (reported)
62.48
Added to our catalog
2026-10-05

Family

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

Compare with any text-classification model