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Gemma 4 26B A4B Uncensored

Web SearchE2EEfp8private
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Quick reference
Gemma 4 26B A4B Uncensored — TLDR
  • 🧠 Mixture-of-Experts: 25.2B total parameters, ~3.8B active per token
  • 👁️ Multimodal input across both text and images
  • 📏 64,000-token context window in this deployment
  • 🔒 Runs inside a Trusted Execution Environment with hardware attestation
  • 🔧 Uncensored variant with refusal behavior largely removed
  • ⚡ fp8 quantization for efficient sparse inference
  • 🌐 Web search capability available
  • 🏢 Built on Google's open Gemma 4 family
💰 Pricing
$0.190 / $0.880
per 1M · input / output
📏 Context
64K tokens
📅 On Venice since
May 24, 2026
10 days ago
Provider

Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its…

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25 models on Venice
10 text · 8 video · 2 image · 2 inpaint · 1 music · 1 embedding · 1 tts
Since Oct 15, 2024

About this model

Gemma 4 26B A4B Uncensored is a community-modified, privacy-hardened deployment of Google's Gemma 4 26B-A4B model, a sparse Mixture-of-Experts design that carries roughly 25.2 billion total parameters but activates only about 3.8 billion per token, which is what the "A4B" label denotes. This particular listing exposes a 64,000-token context window, fp8 quantization, and multimodal text-plus-image input.

The defining feature here is the end-to-end-encrypted, Trusted Execution Environment setup: the model runs with hardware attestation evidence available for independent verification, so users can confirm the execution environment rather than trust it blindly. The "uncensored" qualifier means the instruction-tuned base has had refusal behavior stripped, a process applied to many community Gemma 4 forks.

Within this catalog it is the newest in its uncensored TEE family, following Gemma 4 Uncensored, an earlier 26B uncensored build, and the TEE-hosted Gemma 3 27B. The generational shift from Gemma 3 brings the MoE architecture, which keeps a smaller active-parameter footprint than the dense Gemma 4 31B Instruct sibling.

Because reliable benchmark figures for this specific encrypted, uncensored variant are not published by a primary lab or top-tier evaluator, no performance scores are claimed here. Treat it as a privacy-focused, less-restricted Gemma 4 deployment rather than a benchmarked frontier release.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 3d ago