Zero Refusals Gemma4-26B-A4B-Uncensored-HauhauCS-Balanced Drops

    
        By vramkickedin    
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            May 27, 2026 at 10:08 am        
    
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        2 min read

Gemma4-26B-A4B-Uncensored-HauhauCS-Balanced is a version of Google’s Gemma 4-26B model with all refusal mechanisms removed while keeping the original capabilities fully intact. This release candidate scored zero refusals across 465 standard test prompts, though a handful of edge-case queries may deflect on the first ask before delivering a complete answer. It ships with custom K_P quantizations designed to preserve quality across a wide range of hardware sizes.

HauhauCS, who also built Gemma-4-E4B-Uncensored-HauhauCS-Aggressive spent over a month of nonstop work engineering the uncensored version and created two planned variants. The Balanced variant (this release) will sometimes attach a short safety framing before answering, while an Aggressive variant that skips that preamble is still in development. All downloadable quantized files use importance matrix calibration so even lower-bitrates stay close to the original model’s quality.

Uncensored performance with K_P quantizations

Key Features

Zero refusals across 465 standard test prompts.
Custom K_P quants boost quality at near baseline size.
Only 4B active parameters per forward pass.
Sliding-window attention keeps long contexts efficient.
Multimodal: text and vision with mmproj file.
Toggle thinking mode for chain-of-thought or speed.
Fits in 24 GB VRAM with Q4_K_P quant.
Recommended for creative writing and roleplaying.

Pro consumer GPU owners get a censorship-free model tuned for creative writing, roleplay, and emotional intelligence tasks. Small agencies can run it locally for private long-form content generation that needs a dependable safety margin. Privacy-conscious professionals benefit from on-device processing, and the Balanced variant’s occasional safety notes help keep outputs appropriate for most business settings.

Developer observations and known limitations

HauhauCS notes that a small number of edge-case prompts still deflect on the first attempt and require a re-ask to get the full answer. For agentic coding work, the creator found Qwen3.6 was net superior in their own testing and recommends Gemma 4 primarily for creative and emotional use cases. A more aggressive uncensored variant is in progress, and the Balanced version’s occasional safety framing may make it easier to use in mixed environments.