LLM / MODEL FILE
Llama 3.3 70B
Meta model for high-quality chat and reasoning. Memory figures are estimates, not measured benchmarks.
Parameters70.6B
Q4 estimate50.8 GB
WorkloadLLM
Best proofTest exact runtime
QUANTIZATION
Memory scenarios
MEMORY FILE
Q4_K_M
common balance of size and quality. Estimated requirement: 50.8 GB.
Inspect →MEMORY FILEQ5_K_M
more quality with a larger footprint. Estimated requirement: 61.8 GB.
Inspect →MEMORY FILEQ8_0
near-full quality with high memory use. Estimated requirement: 89.2 GB.
Inspect →MEMORY FILEFP16
full half-precision weights. Estimated requirement: 176.9 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 →OFFLOADRTX 3090 24GB
used-market 24 GB local AI favorite
24 GB VRAMInspect →Runtime, drivers, memory bandwidth, context, batch size, offloading, and model architecture all matter.