Popular open vision-language model for image Q&A and captioning.
visionchat · sizes: 7B, 13B · Apache-2.0
| machine | best fit | verdict | speed |
|---|---|---|---|
| Apple M1 · 8GB | 13B Q4_K_M | ❌ Won't fit | — |
| Apple M1 Pro · 16GB | 13B Q4_K_M | 🐢 CPU-only (slow) | 2–3 tok/s |
| Apple M2 · 16GB | 13B Q4_K_M | 🐢 CPU-only (slow) | 0.9–1 tok/s |
| Apple M3 Pro · 18GB | 7B Q4_K_M | ✅ Runs (tight) | 18–30 tok/s |
| Apple M2 Pro · 32GB | 13B Q5_K_M | ✅ Runs (tight) | 11–18 tok/s |
| Apple M4 Pro · 48GB | 13B Q8_0 | ✅ Runs comfortably | 10–17 tok/s |
| Apple M3 Max · 36GB | 13B Q8_0 | ✅ Runs (tight) | 12–20 tok/s |
| Apple M2 Max · 64GB | 13B Q8_0 | ✅ Runs comfortably | 13–20 tok/s |
| Apple M4 Max · 128GB | 13B Q8_0 | ✅ Runs comfortably | 16–25 tok/s |
| Apple M2 Ultra · 192GB | 13B Q8_0 | ✅ Runs comfortably | 25–40 tok/s |
| NVIDIA GeForce RTX 3060 · 12GB VRAM | 7B Q5_K_M | ✅ Runs (tight) | 30–45 tok/s |
| NVIDIA GeForce RTX 4070 · 12GB VRAM | 7B Q5_K_M | ✅ Runs (tight) | 40–65 tok/s |
| NVIDIA GeForce RTX 4090 · 24GB VRAM | 13B Q8_0 | ✅ Runs (tight) | 30–50 tok/s |
| NVIDIA GeForce RTX 5080 · 16GB VRAM | 13B Q4_K_M | ✅ Runs (tight) | 45–80 tok/s |
| NVIDIA GeForce RTX 5090 · 32GB VRAM | 13B Q8_0 | ✅ Runs comfortably | 55–90 tok/s |
| AMD Radeon RX 7900 XTX · 24GB VRAM | 13B Q8_0 | ✅ Runs (tight) | 25–45 tok/s |
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2 models share LLaVA's KV-cache geometry — they size memory the same way, so a rig that fits one tends to fit its same-size kin.
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