Gemma4 26B A4B QAT Uncensored HauhauCS Balanced MTP

gemma

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released June 2026context N/A26B params

A multimodal open-weight model that accepts both text and image inputs, producing text output. Published by HauhauCS as an uncensored variant with 'balanced' tuning, it likely has fewer content restrictions than the base Gemma model, though the specific behavioral implications of the 'Balanced MTP' designation are not fully documented. Available in GGUF format, making it accessible for local deployment.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Strong

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Gemma4 26B A4B QAT Uncensored HauhauCS Balanced MTP

gemma

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released June 2026context N/A26B params

A multimodal open-weight model that accepts both text and image inputs, producing text output. Published by HauhauCS as an uncensored variant with 'balanced' tuning, it likely has fewer content restrictions than the base Gemma model, though the specific behavioral implications of the 'Balanced MTP' designation are not fully documented. Available in GGUF format, making it accessible for local deployment.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Strong

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

Content RestrictionsSafety guidelines and filters built into a model to prevent it from generating harmful, illegal, or unethical content.GGUFA file format for quantized models designed for efficient CPU and GPU inference with llama.cpp.GGUF FormatA file format designed for efficient storage and loading of large language and embedding models, optimized for fast inference on various hardware.Local DeploymentRunning a model directly on your own computer or server instead of sending requests to a remote service.MultimodalA model that can process and understand multiple types of input, such as both text and images.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.UncensoredA model without built-in safety filters or content restrictions, allowing it to generate responses on any topic without refusal.