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HauhauCS Gemma 4 E2B Goes Uncensored

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HauhauCS Gemma 4 E2B Goes Uncensored
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// 2h agoMODEL RELEASE

HauhauCS Gemma 4 E2B Goes Uncensored

HauhauCS’s 2B-parameter Gemma 4 variant pairs multimodal text, image, video, and audio input with GGUF quantization and reduced safety refusals. It supports local runtimes including llama.cpp, LM Studio, Jan, and Ollama.

// ANALYSIS

This is a compelling local experimentation model, but “uncensored” should not be confused with more capable—the tradeoff is fewer guardrails and limited independent evaluation.

  • Native multimodality brings vision and audio capabilities to a compact 2B model
  • 131K context supports long documents, image-heavy prompts, and extended conversations
  • K_P quantizations aim to preserve quality while reducing local hardware requirements
  • GGUF compatibility makes deployment straightforward across popular local inference tools
  • Developers should validate outputs carefully before using it in safety-sensitive workflows
// TAGS
gemma-4-e2bllmopen-weightsmultimodalvisionquantizationinferencelocal-first

DISCOVERED

2h ago

2026-08-19

PUBLISHED

2h ago

2026-08-19

RELEVANCE

9/ 10

AUTHOR

HuggingModels