Llama 3.2 Vision on Apple M3 Max · 36GB

✅ Runs comfortably — Llama 3.2 Vision 11B @ Q8_0
Llama 3.2 Vision 11B at Q8_0 needs ~12.3 GB (weights 10.6 GB + KV 1.3 GB + overhead 541 MB @ 8K ctx) of your 21.1 GB usable (of 36.0 GB unified memory) — plenty of headroom. Expect ~15–25 tok/s (usable).
context @ Q8_0: comfortable to 32K · runs to its full 128K
quantneedsspeed
✓ Q8_012.3 GB~15–25 tok/s (usable)
✓ Q4_K_M7.8 GB~25–40 tok/s (fast)
$runlocal install llama3.2-vision:11b
runlocal verdict card
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Llama 3.2 Vision: Runs comfortably
for your own README — links back here

Same model, other machines: Apple M1 · Apple M1 Pro · Apple M2 · Apple M3 Pro · Apple M2 Pro · Apple M4 Pro

Also runs on a Apple M3 Max: Qwen3 · DeepSeek-R1 (distill) · Qwen2.5 · Gemma 4 · Gemma 3

Best models for a Apple M3 Max · 36GB →

Architecturally similar

These share Llama 3.2 Vision's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M3 Max · 36GB too:

modelsharesverdict here
Llama 3.1 8kv/128hd ✅ Runs comfortably
Qwen2.5-Coder 8kv/128hd ✅ Runs (tight)
Llama 3.2 8kv/128hd ✅ Runs comfortably
Llama 3.3 8kv/128hd 🐢 CPU-only (slow)
Mistral 7B 8kv/128hd ✅ Runs comfortably
Mistral Small 3 8kv/128hd ✅ Runs (tight)
Mistral Nemo 8kv/128hd ✅ Runs comfortably
Codestral 8kv/128hd ✅ Runs (tight)

…and 8 more — see the Llama 3.2 Vision page.

Check any combo yourself: open the checker →