LLM / MODEL FILE
Qwen2.5 72B
Qwen model for large multilingual inference. Memory figures are estimates, not measured benchmarks.
Parameters72.7B
Q4 estimate52.3 GB
WorkloadLLM
Best proofTest exact runtime
QUANTIZATION
Memory scenarios
MEMORY FILE
Q4_K_M
common balance of size and quality. Estimated requirement: 52.3 GB.
Inspect →MEMORY FILEQ5_K_M
more quality with a larger footprint. Estimated requirement: 63.6 GB.
Inspect →MEMORY FILEQ8_0
near-full quality with high memory use. Estimated requirement: 91.8 GB.
Inspect →MEMORY FILEFP16
full half-precision weights. Estimated requirement: 182.1 GB.
Inspect →CLOSEST FITS
Hardware near the Q4 line
TIGHT
RTX A6000 48GB
workstation capacity for larger quantized models
48 GB VRAMInspect →TIGHTL40S 48GB
data-center inference and image generation
48 GB VRAMInspect →TIGHTRadeon PRO W7900 48GB
large VRAM; verify framework and OS compatibility
48 GB VRAMInspect →TIGHTMac mini M4 Pro 64GB
compact unified-memory system
64 GB UnifiedInspect →OFFLOADRTX 5090 32GB
fast 32 GB consumer flagship
32 GB VRAMInspect →COMFORTABLEA100 80GB
large-memory data-center accelerator
80 GB VRAMInspect →Runtime, drivers, memory bandwidth, context, batch size, offloading, and model architecture all matter.