Finetunes
💾 File hash: 9e4f012bdb52287b8954f798b20cf796 (Update date: 2026-07-20) Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Power of AI […]
How to Run medgemma-27b-it with Native FP4 2026/2027 Tutorial Read More »
🧾 Hash-sum — 48804f5ffe8505467452230966baed2b • 🗓 Updated on: 2026-07-18 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: minimum 16 GB for stable 8B model loading Disk Space:70 GB free space for full FP16 weights storage Graphics: 12 GB VRAM minimum required for basic quantization The Cutting-Edge Qwen3.6-35B-A3B-MLX-8bit Model: Unveiling State-of-the-Art Performance The Qwen3.6-35B-A3B-MLX-8bit model
How to Run Qwen3.6-35B-A3B-MLX-8bit PC with NPU 5-Minute Setup Read More »
📄 Hash Value: c97b5cdc9fa5b70408b312db553c3ec6 | 📆 Update: 2026-07-14 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Full Potential of DeepSeek-V4-Flash The DeepSeek-V4-Flash model is designed to tackle
How to Run DeepSeek-V4-Flash Locally (No Cloud) Quantized GGUF Complete Walkthrough Read More »
