Category archive for: Ollama
Back homeQwen3.6-35B-A3B-FP8 Quantized GGUF
? Hash code: 0e7ffe915dd103b5f85508c48762496f — Last modification: 2026-07-16VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space Graphics: 12 GB VRAM minimum required for ba... Read more
Posted on July 18, 2026 16:30
Qwen3-30B-A3B-Instruct-2507 No Python Required For Beginners
? SHA sum: 94054db31f6e201f9222b7157f9dba46 | Updated: 2026-07-12VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-at... Read more
Posted on 10:22








