ChatReasoningMulti-Purpose13B
LLaVA 1.6 13B
LLaVA · Llama 2 Community License
Multimodal model — 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.
- Parameters
- 13B
- Context
- 4,096 tokens
- Released
- 2024-01-30
- Engines
- llama.cpp, ollama
LLaVA 1.6 13B (13B) requires 9.1 GB VRAM at recommended quality (Q5_K_M). At efficient quality (Q4_K_M), it fits in 7.7 GB VRAM, making it compatible with the NVIDIA GeForce RTX 4060 8GB. On NVIDIA GeForce RTX 4090, expect approximately 30 tok/s at Q5_K_M. For the best experience, Starter AI Desktop ($582) is recommended.
— OwnRig methodology, data updated 2026-03-01
VRAM Requirements
| Quality | Quantization | VRAM | File Size |
|---|---|---|---|
| recommended | Q5_K_M | 9.1 GB | 7.8 GB |
| efficient | Q4_K_M | 7.7 GB | 6.5 GB |
| compressed | Q3_K_M | 6.2 GB | 5.1 GB |
Context Length Impact
KV cache VRAM at Q5_K_M quality. Longer context = more memory.
| Context | KV Cache | Total VRAM |
|---|---|---|
| 2K | 205 MB | 9.3 GB |
| 4K | 410 MB | 9.5 GB |
Compatible GPUs
Performance data for LLaVA 1.6 13B across different hardware.
| Device | Quantization | Speed | Rating | Fits in VRAM |
|---|---|---|---|---|
| NVIDIA GeForce RTX 4060 Ti 16GB | Q4_K_M | 22 tok/s | Good | ✓ |
| NVIDIA GeForce RTX 4090 | Q5_K_M | 30 tok/s | Good | ✓ |
| NVIDIA GeForce RTX 4060 8GB | Q3_K_M | 22 tok/s | Marginal | ✓ |
| NVIDIA GeForce RTX 4070 Ti 12GB | Q4_K_M | 28 tok/s | Good | ✓ |
| NVIDIA GeForce RTX 3080 10GB | Q3_K_M | 18 tok/s | Acceptable | ✓ |
| Apple M3 Pro (18GB Unified) | Q4_K_M | 8 tok/s | Acceptable | ✓ |
Recommended Builds
Complete PC builds that can run LLaVA 1.6 13B.
Frequently Asked Questions
- How much VRAM does LLaVA 1.6 13B need?
- LLaVA 1.6 13B requires 9.1 GB VRAM at recommended quality (Q5_K_M). At lower quality settings, it can fit in as little as 6.2 GB.
- What is the best GPU for LLaVA 1.6 13B?
- The NVIDIA GeForce RTX 4090 delivers the best performance for LLaVA 1.6 13B, achieving 30 tok/s at Q5_K_M with an good rating.
- Can I run LLaVA 1.6 13B on an RTX 4060 Ti?
- Yes. On the NVIDIA GeForce RTX 4060 Ti 16GB, LLaVA 1.6 13B runs at 22 tok/s (Q4_K_M, good).
- What quantization should I use for LLaVA 1.6 13B?
- For the best quality, use Q5_K_M (9.1 GB VRAM). If your GPU has limited VRAM, Q3_K_M (6.2 GB) is the most efficient option with acceptable quality.
Data confidence: estimated. Last updated: 2026-03-01. Source