Skip to content
Início » Articles » Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 10 For Beginners

Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 10 For Beginners

Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 10 For Beginners

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.

🔍 Hash-sum: f73aac72b333810c614bb68c9672b889 | 🕓 Last update: 2026-06-29



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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.

SpecificationValue
Parameters40 B
Context Length8 K tokens
Training Data≈1.5 trillion tokens
Inference Speed≈200 tokens/s (GPU)
QuantizationGGUF (Q4_K_M)
  1. Script downloading specialized multi-column layout parsing models for PDF engines
  2. How to Autostart Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 10 Full Speed NPU Mode No-Code Guide
  3. Installer setting up SillyTavern interface optimized for KoboldCPP 1.80+
  4. Setup Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF No Admin Rights Local Guide Windows
  5. Installer pre-configuring modern machine learning dependency matrices on local systems
  6. 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

https://preobrajenie.org.ua/category/gguf/

Leave a Reply

Your email address will not be published. Required fields are marked *