Qwen3.5-9B-AWQ-4bit No Python Required Full Method
The fastest way to get this model running locally is via Docker. Just follow the guidelines provided below. Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency. 📤 Release Hash: 3129703859d9fe862b4432c04e626191 • 📅 Date: 2026-06-25 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred
gdpti
2026年6月28日
