
LLaVA 1.6 13B on NVIDIA GeForce RTX 4060 Ti 16GB
Yes — RTX 4060 Ti 16GB handles LLaVA 1.6 13B well at Q4_K_M — 22 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
13B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for LLaVA 1.6 13B on NVIDIA GeForce RTX 4060 Ti 16GB at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 22 tok/s | 500ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Q4 at 7.7GB fits on 16GB. First token is slower due to vision encoder processing.
About LLaVA 1.6 13B
LLaVA 1.6 13B (13B) is a chat, reasoning, multi-purpose model. Multimodal model that processes images and text together. Built on Vicuna 13B with a vision encoder. Can analyze screenshots, diagrams, and photos. Useful for builders who need to process visual content in their workflows.
View all LLaVA 1.6 13B hardware options →About NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
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Estimate method: Multimodal model 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.