MetaLlama 3.1 8B Instruct on NVIDIA GeForce RTX 3060 12GB
Yes — RTX 3060 12GB handles Llama 3.1 8B Instruct well at Q5_K_M — 35 tok/s. Solid daily-driver performance on 12 GB VRAM.
Model Size
8.03B
Device VRAM
12 GB
Bandwidth
360 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.1 8B Instruct on NVIDIA GeForce RTX 3060 12GB at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 35 tok/s | 180ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
Comfortable fit with 6.2GB headroom. Good speed despite lower bandwidth.
About Llama 3.1 8B Instruct
Llama 3.1 8B Instruct (8.03B) is a chat, coding, ai coding, reasoning, multi-purpose model. Best-in-class 8B model. General capabilities with capable coding support. The go-to small model for local inference: fast, accurate, and well-supported across all inference engines.
View all Llama 3.1 8B Instruct hardware options →About NVIDIA GeForce RTX 3060 12GB
NVIDIA GeForce RTX 3060 12GB has 12 GB at 360 GB/s. Street price: $269.
See all models NVIDIA GeForce RTX 3060 12GB can run →Builds with NVIDIA GeForce RTX 3060 12GB
Estimate method: Community benchmarks and llama.cpp performance reports. Reference hardware source: github.com (2026-01-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.