The most efficient approach for a local installation is leveraging Docker containers.
Follow the guidelines below to continue.
An automated background process downloads all required large-scale files.
The installer will automatically analyze your hardware and select the optimal configuration.
🛠 Hash code: a0c6e9e8a299e45719af7e98eaed502d — Last modification: 2026-06-28
- Processor: high single-core performance needed for token latency
- RAM: 32 GB highly recommended for 26B+ GGUF models
- Disk Space: 100 GB for multi-modal model vision components
- GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference
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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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