With 8 GB of VRAM, the RTX 4060 Ti 8 GB runs Gemma 3 4B IT at Q4_K_M entirely on the GPU with an 8K context (about 3.9 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 3.9 GB and fits in the 7.7 GB available, with 3.7 GB to spare.
~3.9 GB (3.5 GB–4.4 GB) needed · estimate
Fits entirely in VRAM · 3.7 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Gemma 3 4B IT Q8_08K~5.4 GB · 47–63 tok/s estimate | Excellent |
|---|---|
| Gemma 3 4B IT Q6_K8K~4.6 GB · 59–80 tok/s estimate | Excellent |
| Gemma 3 4B IT Q5_K_M8K~4.2 GB · 65–89 tok/s estimate | Excellent |
| Gemma 3 4B IT Q4_K_M8K~3.9 GB · 72–100 tok/s estimate | Excellent |
| Gemma 3 4B IT IQ4_XS8K~3.7 GB · 77–109 tok/s estimate | Excellent |
| Gemma 3 4B IT Q3_K_M8K~3.5 GB · 82–116 tok/s estimate | Excellent |
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8 GB GDDR6 · 288 GB/s · 160 W
ExcellentRuns Gemma 3 4B IT Q4_K_M entirely in memory
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