Llama 3.1 70B Instruct on NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 cannot run Llama 3.1 70B Instruct at any quantization level. The 24 GB of VRAM is insufficient.
Model Size
70.6B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Llama 3.1 70B Instruct performance at a different quality level on NVIDIA GeForce RTX 4090.
| 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 — 48GB+ recommended for usable quantizations. Excellent 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
Source: Community offloading reports (2026-01-15)
Data last updated: 2026-03-01