With 80 GB of VRAM, the A100 80GB runs Qwen3 Coder 30B-A3B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 19.7 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 19.7 GB and fits in the 77.6 GB available, with 57.9 GB to spare.
~19.7 GB (19.1 GB–20.5 GB) needed · estimate
Fits entirely in VRAM · 57.9 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Qwen3 Coder 30B-A3B Instruct Q8_08K~33.4 GB · 171–476 tok/s estimate | Excellent |
|---|---|
| Qwen3 Coder 30B-A3B Instruct Q6_K8K~26.1 GB · 147–260 tok/s estimate | Excellent |
| Qwen3 Coder 30B-A3B Instruct Q5_K_M8K~22.8 GB · 153–276 tok/s estimate | Excellent |
| Qwen3 Coder 30B-A3B Instruct Q4_K_M8K~19.7 GB · 160–293 tok/s estimate | Excellent |
| Qwen3 Coder 30B-A3B Instruct IQ4_XS8K~17.6 GB · 165–307 tok/s estimate | Excellent |
| Qwen3 Coder 30B-A3B Instruct Q3_K_M8K~16 GB · 169–317 tok/s estimate | Excellent |
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AMD
CompatibleRuns Qwen3 Coder 30B-A3B Instruct Q4_K_M entirely in memory
Unified memory PC
ExcellentRuns Qwen3 Coder 30B-A3B Instruct Q4_K_M entirely in memory
Lowest memory tier
CompatibleRuns Qwen3 Coder 30B-A3B Instruct Q4_K_M entirely in memory
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