The fastest tactical way to launch this model locally is via a Docker image.
Refer to the instructions below to proceed.
The engine will automatically fetch large dependencies in the background.
There is no manual tuning required; the builder deploys the best matching configuration.
The model Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF is a massive 40βbillion parameter language model designed for highβperformance inference. It leverages an advanced Transformerβbased architecture with multiβhead attention and a novel DiβIMatrix optimization layer that dramatically reduces memory footprint while preserving accuracy. The model has been trained on a diverse, webβscale corpus, enabling it to generate coherent, contextβaware responses across technical, creative, and conversational domains. Benchmarks show that it outperforms many existing openβsource models in reasoning, coding, and language understanding tasks, thanks to its OpusβDeckard fineβtuning pipeline. Its uncensored thinking mode encourages transparent reasoning steps, making it especially valuable for research and educational applications.
| Specification | Value |
|---|---|
| Parameters | 40β―B |
| Context Length | 8β―K tokens |
| Training Data | β1.5β―trillion tokens |
| Inference Speed | β200 tokens/s (GPU) |
| Quantization | GGUF (Q4_K_M) |
- Script automating visual encoder weight downloads for advanced multi-modal vision tasks
- Install Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on Copilot+ PC Quantized GGUF Direct EXE Setup FREE
- Setup utility configuring sub-millisecond local translation overlay setups for gaming
- Deploy Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Step-by-Step
- Setup tool updating local CUDA toolkit mappings for AI backend compilers
- Setup Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF One-Click Setup Windows
