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Gemma 4 26B A4B Uncensored🔒Private

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Quick reference
Gemma 4 26B A4B Uncensored — TLDR
  • 🧩 MoE with 25.2B total / 3.8B active parameters
  • 🔒 Runs in a Trusted Execution Environment with hardware attestation
  • 👁️ Multimodal input across text and images
  • 📏 64K-token context window
  • 🌍 Uncensored variant with reduced content refusals
  • ⚡ fp8 quantization for efficient serving
💰 Pricing
$0.190 / $0.880
per 1M · input / output
📏 Context
64K tokens
📅 On Venice since
May 24, 2026
56 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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30 models on Venice
11 video · 10 text · 3 image · 3 inpaint · 1 music · 1 embedding · 1 tts
Since Oct 15, 2024

About this model

Gemma 4 26B A4B Uncensored is a privacy-hardened, uncensored build of Google's Gemma 4 mixture-of-experts model, running inside a Trusted Execution Environment (TEE) that produces hardware attestation evidence for independent verification. Architecturally it pairs 25.2B total parameters with only 3.8B active per token, keeping inference lightweight while retaining broad knowledge, and it accepts both text and image input across a 64K-token context, served at fp8 precision.

Released in May 2026, it sits alongside the standard Gemma 4 Uncensored as the confidential-compute counterpart, and joins Google's TEE-backed lineup that also includes Gemma 4 31B Instruct and the earlier Gemma 3 27B. The "uncensored" tuning loosens the default safety guardrails, while the sparse MoE design gives it a favorable speed-to-capability ratio compared with dense models of similar footprint.

This build is best suited to users who want open-ended, low-refusal generation with verifiable end-to-end privacy — creative writing, roleplay, and sensitive research where both confidentiality and multimodal understanding matter, without paying the latency cost of a fully dense model.

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 6d ago