GeForce RTX 3060 12GB · Llama 3.1 8B Instruct · Q4_K_M
Yes. A GeForce RTX 3060 12GB runs Llama 3.1 8B Instruct at Q4_K_M with room left at 8,192 tokens, roughly 33–59 tokens per second.
| Piece | Value | Note |
|---|---|---|
| Weights | 4.58 GiB | Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf |
| KV cache | 1.00 GiB | 8,192 tokens |
| Engine overhead | 0.50 GiB | Flat 0.5 GiB allowance |
| 5% headroom | 0.30 GiB | On the sum above |
| Total | 6.39 GiB | Fits |
| Fast memory | 12.0 GiB | 12 GB VRAM |
| Speed | 33–59 tok/s | Dense bandwidth range |
ollama run llama3.1:8b
GeForce RTX 3060 12GB · Llama 3.1 8B Instruct ·GGUF file · Methodology
FAQ
How was this fit calculated?
Weights 4.58 GiB, KV cache 1.00 GiB at 8,192 tokens, engine overhead 0.50 GiB, then 5% headroom, for 6.39 GiB. Fast memory available is 12.0 GiB.
What if I change the quant or the context?
This page is Q4_K_M at 8,192 tokens. A smaller quant or a shorter context lowers the total. The homepage calculator changes both without a new page.
Can I trust the tokens per second?
The range 33–59 tok/s is a bandwidth roofline, 55% to 80% efficient. This dense model reads the whole weight file each token. Measure your own box before you buy around it.
What do I type?
ollama run llama3.1:8b
Is GeForce RTX 3060 12GB assumed to have extra RAM?
Yes. Discrete GPU pages assume 32 GB of system RAM. Offload uses whatever remains after 8 GB for Windows, and it is limited by the slower of DDR5-5600 and the PCIe link.