can i run · seo

Yes — Granite 3.3 8B runs on Mac M4 16GB

Granite 3.3 8B (8B) needs 8.8GB VRAM at Q8 vs your 16GB unified. Estimated ~6–8 tok/s.

Apache, long context, enterprise-clean. Solid 8 GB citizen.

best fit on this rig · weights + KV + headroom
Q8 · 8.8GB weights+0.4GB KV @ 8kfits GPU~6–8 tok/s
quantweights+ KV 8kfits 16GB?
Q45.1GB~5.5GB✓ yes
Q56.4GB~6.8GB✓ yes
Q88.8GB~9.2GB✓ yes
FP1616GB~16.4GB× tight/no

File size ≠ runtime. KV grows with context — halve to 4k/2k if long chats OOM. Leave 1–2GB free.

ollama run granite3.3:8b
Run it: 1) install Ollama · 2) copy command · 3) verify with ollama ps (want 100% GPU).
faq · straight answers

Can Granite 3.3 8B run on Mac M4 16GB?

Granite 3.3 8B (8B) needs 8.8GB VRAM at Q8 vs your 16GB unified. Estimated ~6–8 tok/s. Model context 128k. Compare with all models or re-check with your exact specs on the bench.

What if it OOMs?

Unload with ollama stop, cap layers --num-gpu 28, cut context to 2k. See the OOM fixer on the homepage.

Q4 or Q8 on this rig?

Start Q8. Bigger model at Q4 beats smaller at Q8. Only go Q8 if 2GB+ headroom remains.

How fast will it be?

About ~6–8 tok/s when 100% on GPU. Any CPU offload drops speed 5–20× — check ollama ps.

Is Apache-2.0 commercial-safe?

Yes — Apache-2.0 allows commercial use.

Aarav — RTX 4090Qwen3.8 27B Q4 · 2m agoPriya — M4 16GBPhi-4 Mini Q8 · 4m agoRohan — RTX 3060 12GBGemma 3 12B Q5 · 6m agoSneha — 2x RTX 3090Llama 3.3 70B Q4 · 9m agoVikram — 8GB laptopQwen3 8B Q4 · 11m agoAnanya — M4 Max 64GBDeepSeek-R1 32B Q4 · 14m agoKabir — RTX 4070 12GBMistral Small 3.2 Q4 · 18m agoIsha — Mac Studio 128GBGLM-5.3 Flash IQ2 · 22m agoAarav — RTX 4090Qwen3.8 27B Q4 · 2m agoPriya — M4 16GBPhi-4 Mini Q8 · 4m agoRohan — RTX 3060 12GBGemma 3 12B Q5 · 6m agoSneha — 2x RTX 3090Llama 3.3 70B Q4 · 9m agoVikram — 8GB laptopQwen3 8B Q4 · 11m agoAnanya — M4 Max 64GBDeepSeek-R1 32B Q4 · 14m agoKabir — RTX 4070 12GBMistral Small 3.2 Q4 · 18m agoIsha — Mac Studio 128GBGLM-5.3 Flash IQ2 · 22m agoAarav — RTX 4090Qwen3.8 27B Q4 · 2m agoPriya — M4 16GBPhi-4 Mini Q8 · 4m agoRohan — RTX 3060 12GBGemma 3 12B Q5 · 6m agoSneha — 2x RTX 3090Llama 3.3 70B Q4 · 9m agoVikram — 8GB laptopQwen3 8B Q4 · 11m agoAnanya — M4 Max 64GBDeepSeek-R1 32B Q4 · 14m agoKabir — RTX 4070 12GBMistral Small 3.2 Q4 · 18m agoIsha — Mac Studio 128GBGLM-5.3 Flash IQ2 · 22m ago
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