MetaLlama 3.1 70B Instruct on NVIDIA GeForce RTX 4090
RTX 4090 cannot run Llama 3.1 70B Instruct. 24 GB VRAM is insufficient at any quantization level.
Model Size
70.6B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.1 70B Instruct on NVIDIA GeForce RTX 4090 at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 5 tok/s | 2500ms | ✗ Offload | Marginal | estimated |
Notes
Q3_K_M
Q3 at 31.6GB exceeds 24GB VRAM; requires CPU offloading. Usable but slow. For 70B on a single GPU, need 48GB+ VRAM.
About Llama 3.1 70B Instruct
Llama 3.1 70B Instruct (70.6B) is a chat, coding, ai coding, reasoning, multi-purpose model. Frontier-class open model. Approaches GPT-4 quality on many benchmarks. Requires significant VRAM; 48 GB+ recommended for usable quantizations. Well suited for serious local deployment.
View all Llama 3.1 70B Instruct hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Community offloading 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.