MetaLlama 3.2 11B Vision on NVIDIA GeForce RTX 4090
Yes — RTX 4090 runs Llama 3.2 11B Vision excellently at Q8_0 — 95 tok/s. 24 GB VRAM with plenty of headroom.
Model Size
11B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 11B Vision on NVIDIA GeForce RTX 4090 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 95 tok/s | 55ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
24GB VRAM handles Q8 with 11GB headroom. Top-tier speed.
About Llama 3.2 11B Vision
Llama 3.2 11B Vision (11B) is a chat, reasoning, multi-purpose model. Meta's first multimodal Llama model. Handles both text and image inputs. At 11B parameters, fits comfortably on 16GB GPUs at Q4. Vision capabilities are useful for image understanding tasks but text quality is comparable to Llama 3.1 8B, not 70B.
View all Llama 3.2 11B Vision 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 benchmarks. 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.