With 8 GB of VRAM, the RTX 4060 Ti 8 GB runs Llama 3.2 3B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 3.8 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 3.8 GB and fits in the 7.7 GB available, with 3.9 GB to spare.
~3.8 GB (3.5 GB–4.2 GB) needed · estimate
Fits entirely in VRAM · 3.9 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Llama 3.2 3B Instruct Q8_08K~5.1 GB · 52–70 tok/s estimate | Excellent |
|---|---|
| Llama 3.2 3B Instruct Q6_K8K~4.4 GB · 64–87 tok/s estimate | Excellent |
| Llama 3.2 3B Instruct Q5_K_M8K~4.1 GB · 70–96 tok/s estimate | Excellent |
| Llama 3.2 3B Instruct Q4_K_M8K~3.8 GB · 78–107 tok/s estimate | Excellent |
| Llama 3.2 3B Instruct IQ4_XS8K~3.6 GB · 83–116 tok/s estimate | Excellent |
| Llama 3.2 3B Instruct Q3_K_M8K~3.5 GB · 88–123 tok/s estimate | Excellent |
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8 GB GDDR6 · 288 GB/s · 160 W
ExcellentRuns Llama 3.2 3B Instruct Q4_K_M entirely in memory
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