MetaLlama 3.1 8B Instruct on NVIDIA GeForce RTX 4070 Super
Yes — RTX 4070 Super runs Llama 3.1 8B Instruct excellently at Q5_K_M — 55 tok/s. 12 GB VRAM with plenty of headroom.
Model Size
8.03B
Device VRAM
12 GB
Bandwidth
504 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 4070 Super 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 | 55 tok/s | 120ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
4070 Super (504 GB/s) slightly slower than 4070 Ti Super. Q5 fits with headroom.
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 4070 Super
NVIDIA GeForce RTX 4070 Super has 12 GB at 504 GB/s. Street price: $599.
See all models NVIDIA GeForce RTX 4070 Super can run →Builds with NVIDIA GeForce RTX 4070 Super
Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
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.