Nemotron-Mini 4B on Apple M1 · 8GB

🐢 CPU-only (slow) — Nemotron-Mini 4B @ Q8_0
Nemotron-Mini 4B 4B at Q8_0 needs ~5.7 GB (weights 4.2 GB + KV 1.0 GB + overhead 512 MB @ 8K ctx) of your 2.9 GB usable (of 8.0 GB unified memory) — runs on CPU only. Expect ~0.9–2 tok/s (slow).
context @ Q8_0: runs to its full 4K
quantneedsspeed
~ Q8_05.7 GB~0.9–2 tok/s (slow)
~ Q6_K4.7 GB~1–2 tok/s (slow)
~ Q4_K_M4.0 GB~1–2 tok/s (slow)
$runlocal install nemotron-mini:4b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
Nemotron-Mini 4B: CPU-only (slow)
for your own README — links back here

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

Also runs on a Apple M1: DeepSeek-R1 (distill) · Qwen2.5 · Qwen3 · Llama 3.2 · Gemma 2

Best models for a Apple M1 · 8GB →

Architecturally similar

These share Nemotron-Mini 4B's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M1 · 8GB too:

modelsharesverdict here
Llama 3.1 8kv/128hd 🐢 CPU-only (slow)
Qwen2.5-Coder 8kv/128hd ✅ Runs comfortably
Llama 3.3 8kv/128hd ❌ Won't fit
Mistral 7B 8kv/128hd 🐢 CPU-only (slow)
Mistral Small 3 8kv/128hd ❌ Won't fit
Mistral Nemo 8kv/128hd ❌ Won't fit
Codestral 8kv/128hd ❌ Won't fit
Llama 3.2 Vision 8kv/128hd ❌ Won't fit

…and 7 more — see the Nemotron-Mini 4B page.

Check any combo yourself: open the checker →