July 23, 2026

Qwen3.5-397B-A17B-NVFP4 Locally via LM Studio

๐Ÿ” Hash-sum: f7a0a066b5d58c75436ea90534edbb1c | ๐Ÿ•“ Last update: 2026-07-21 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and datasets Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration The Qwen3.5-397B-A17B-NVFP4: A Breakthrough in Large Language Model Efficiency […]

Kimi-K2-Instruct-0905 Using Pinokio Step-by-Step

๐Ÿ“„ Hash Value: fd6c411f2cacea29ab9706b654589105 | ๐Ÿ“† Update: 2026-07-22 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization Diving into the World of Kimi-K2-Instruct-0905: Unlocking […]

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