The shortest path to running this model is by activating Hyper-V features.
Use the instructions provided below to complete the setup.
All large files and heavy weights are downloaded automatically by the script.
Without any user input, the software calibrates parameters for optimal hardware usage.
The model Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF is a massive 40âbillion parameter language model designed for highâperformance inference. It leverages an advanced Transformerâbased architecture with multiâhead attention and a novel DiâIMatrix optimization layer that dramatically reduces memory footprint while preserving accuracy. The model has been trained on a diverse, webâscale corpus, enabling it to generate coherent, contextâaware responses across technical, creative, and conversational domains. Benchmarks show that it outperforms many existing openâsource models in reasoning, coding, and language understanding tasks, thanks to its OpusâDeckard fineâtuning pipeline. Its uncensored thinking mode encourages transparent reasoning steps, making it especially valuable for research and educational applications.
| Specification | Value |
|---|---|
| Parameters | 40âŻB |
| Context Length | 8âŻK tokens |
| Training Data | â1.5âŻtrillion tokens |
| Inference Speed | â200 tokens/s (GPU) |
| Quantization | GGUF (Q4_K_M) |
- Script downloading specialized multi-column layout parsing models for PDF engines
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- Installer pre-configuring modern machine learning dependency matrices on local systems
- Install Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Locally via Ollama 2 with 1M Context FREE