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Peace and Equality Cell

Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Native FP4 Easy Build

To install this model locally in the shortest time, opt for a direct curl execution.

Carefully read and apply the steps described below.

The engine will automatically fetch large dependencies in the background.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

🔐 Hash sum: 76e30b9e5d4ac04db041002a6cc3bbeb | 📅 Last update: 2026-07-04



  • Processor: next-gen chip for heavy context processing
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

The Gemma-4-E4B-Uncensored-HauhauCS-Aggressive model delivers state‑of‑the‑art language understanding with a massive 10‑trillion parameter architecture. Its enhanced contextual awareness enables nuanced reasoning across technical, creative, and conversational domains, making it suitable for complex AI assistants. Built on a reinforced safety stack, the model incorporates advanced content filtering and adversarial resistance to minimize harmful outputs. Developers benefit from extensive customization options, including fine‑tuning hooks and a modular plugin system that supports rapid adaptation to specialized tasks. Benchmark tests show record‑breaking performance on reasoning, coding, and multilingual tasks, often surpassing comparable models by a wide margin. Overall, the model represents a significant leap forward in scalable, safe, and adaptable AI capabilities for enterprise and research applications.

Parameter Count 10 trillion
Training Data Size petabytes of web‑scale text
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