Gemma 2 27B IT at Q4_K_M needs about 19.6 GB, more than the 16 GB of the RTX 4060 Ti 16 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 19.6 GB but only 15.5 GB of VRAM is usable: 4.1 GB must be loaded into system RAM. It runs, 79% on the GPU, but more slowly.
~19.6 GB (18.9 GB–20.4 GB) needed · estimate
4.1 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
| Gemma 2 27B IT Q8_08K~31.6 GB · 1.2–2 tok/s estimate | Possible but slow |
|---|---|
| Gemma 2 27B IT Q6_K8K~25.2 GB · 1.9–3.5 tok/s estimate | Possible but slow |
| Gemma 2 27B IT Q5_K_M8K~22.3 GB · 2.5–4.5 tok/s estimate | Possible but slow |
| Gemma 2 27B IT Q4_K_M8K~19.6 GB · 3.5–7 tok/s estimate | CPU/GPU offload |
| Gemma 2 27B IT IQ4_XS8K~17.8 GB · 5.5–9.5 tok/s estimate | CPU/GPU offload |
| Gemma 2 27B IT Q3_K_M8K~16.5 GB · 8–14 tok/s estimate | CPU/GPU offload |
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AMD
ExcellentRuns Gemma 2 27B IT Q4_K_M entirely in memory
Unified memory PC
CompatibleRuns Gemma 2 27B IT Q4_K_M entirely in memory
Lowest memory tier
CompatibleRuns Gemma 2 27B IT Q4_K_M entirely in memory
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