Qwen3 Coder 30B-A3B Instruct at Q4_K_M needs about 19.7 GB, more than the 8 GB of the RTX 4060 Ti 8 GB: part of the model runs from system RAM, which slows generation. At Q3_K_M it does not fit in VRAM.
Q4_K_M · 8K context
The model needs about 19.7 GB but only 7.7 GB of VRAM is usable: 12.1 GB must be loaded into system RAM. It runs, 39% on the GPU, but more slowly.
~19.7 GB (19.1 GB–20.5 GB) needed · estimate
12.1 GB must be offloaded to system RAM
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 · 6–12 tok/s estimate | Possible but slow |
|---|---|
| Qwen3 Coder 30B-A3B Instruct Q6_K8K~26.1 GB · 8–16 tok/s estimate | Possible but slow |
| Qwen3 Coder 30B-A3B Instruct Q5_K_M8K~22.8 GB · 9.5–19 tok/s estimate | Possible but slow |
| Qwen3 Coder 30B-A3B Instruct Q4_K_M8K~19.7 GB · 12–23 tok/s estimate | Possible but slow |
| Qwen3 Coder 30B-A3B Instruct IQ4_XS8K~17.6 GB · 14–26 tok/s estimate | Possible but slow |
| Qwen3 Coder 30B-A3B Instruct Q3_K_M8K~16 GB · 16–30 tok/s estimate | Possible but slow |
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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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