If you want the fastest local installation for this model, use Docker.
Review and follow the instructions below.
The system automatically triggers a cloud download for all heavy weights.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
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📤 Release Hash: 3bfff6535cf6b6252fb5ebd2979b3b90 • 📅 Date: 2026-06-27
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The model Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF is a massive 40‑billion parameter language model designed for high‑performance inference. It leverages an advanced Transformer‑based architecture with multi‑head attention and a novel Di‑IMatrix optimization layer that dramatically reduces memory footprint while preserving accuracy. The model has been trained on a diverse, web‑scale corpus, enabling it to generate coherent, context‑aware responses across technical, creative, and conversational domains. Benchmarks show that it outperforms many existing open‑source models in reasoning, coding, and language understanding tasks, thanks to its Opus‑Deckard fine‑tuning pipeline. Its uncensored thinking mode encourages transparent reasoning steps, making it especially valuable for research and educational applications.
| Specification | Value |
|---|---|
| Parameters | 40 B |
| Context Length | 8 K tokens |
| Training Data | ≈1.5 trillion tokens |
| Inference Speed | ≈200 tokens/s (GPU) |
| Quantization | GGUF (Q4_K_M) |
- Downloader pulling hyper-efficient model variations tailored for mobile system computing evaluation tests
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- Downloader pulling enhanced voice profiles for local Fish-Speech voiceover modules
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- Setup tool checking Blake3 hashes for high-speed model file verification
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- Installer deploying deep semantic index tools requiring zero cloud connections
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- Setup tool configuring MemGPT local agents with Ollama backend links
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- Installer configuring audio source separation setups for stem mastering
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