LLM / MODEL FILE
DeepSeek Coder 33B
DeepSeek model for larger code generation. Memory figures are estimates, not measured benchmarks.
Parameters33.0B
Q4 estimate24.6 GB
WorkloadLLM
Best proofTest exact runtime
QUANTIZATION
Memory scenarios
MEMORY FILE
Q4_K_M
common balance of size and quality. Estimated requirement: 24.6 GB.
Inspect →MEMORY FILEQ5_K_M
more quality with a larger footprint. Estimated requirement: 29.7 GB.
Inspect →MEMORY FILEQ8_0
near-full quality with high memory use. Estimated requirement: 42.5 GB.
Inspect →MEMORY FILEFP16
full half-precision weights. Estimated requirement: 83.5 GB.
Inspect →CLOSEST FITS
Hardware near the Q4 line
TIGHT
RTX 3090 24GB
used-market 24 GB local AI favorite
24 GB VRAMInspect →TIGHTRTX 4090 24GB
strong 24 GB inference and image generation
24 GB VRAMInspect →TIGHTRadeon RX 7900 XTX 24GB
24 GB value with a more selective software path
24 GB VRAMInspect →COMFORTABLERTX 5090 32GB
fast 32 GB consumer flagship
32 GB VRAMInspect →OFFLOADRTX 4060 Ti 16GB
efficient 16 GB consumer option
16 GB VRAMInspect →OFFLOADRTX 4070 Ti Super 16GB
faster 16 GB card for mid-size models
16 GB VRAMInspect →Runtime, drivers, memory bandwidth, context, batch size, offloading, and model architecture all matter.