To get this model running locally in no time, utilize the built-in WSL tools.
Go through the configuration rules shown below.
The client handles the setup, pulling gigabytes of data automatically.
To guarantee smooth performance, the process auto-selects the best options.
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) |
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