The most efficient approach for a local installation is leveraging Docker containers.
Follow the guidelines below to continue.
The script takes care of fetching the multi-gigabyte model weights.
You don’t need to tweak anything; the installer picks the highest performing setup.
🔒 Hash checksum: e3f09cd3dac93c5156e61686b6fb90ef • 📆 Last updated: 2026-07-02
CPU: AVX2/AVX-512 instruction set required for llama.cpp
RAM: 48 GB needed to prevent memory swapping to disk
Disk Space: at least 100 GB for multiple local LLM variants
Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration
The Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive is a large language model designed for high‑performance reasoning and creative generation. It leverages a 35‑billion parameter architecture combined with the A3B optimization stack to deliver fast inference and deep contextual understanding. The model is uncensored and adopts an aggressive conversational style, making it suitable for users seeking bold, unfiltered responses. In benchmarks, it consistently outperforms peers in code generation, dialogue coherence, and factual recall tasks. Below is a quick overview of its core specifications in a simple table.
Spec
Value
Model Name
Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
Parameter Count
35 B
Optimization
A3B
Style
Aggressive, Uncensored
Primary Strength
Creative generation, reasoning
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