Yi-Coder 9B on Apple M1 · 8GB

🐢 CPU-only (slow) — Yi-Coder 9B @ Q4_K_M
Yi-Coder 9B 9B at Q4_K_M needs ~6.2 GB (weights 5.0 GB + KV 768 MB + overhead 512 MB @ 8K ctx) of your 2.9 GB usable (of 8.0 GB unified memory) — runs on CPU only. Expect ~0.8–1 tok/s (slow).
context @ Q4_K_M: runs to 16K · won't fit past that on this rig
quantneedsspeed
✗ Q8_010.0 GB—
✗ Q6_K8.0 GB—
~ Q4_K_M6.2 GB~0.8–1 tok/s (slow)
$runlocal install yi-coder:9b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
Yi-Coder 9B: 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 Yi-Coder 9B's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M1 · 8GB too:

modelsharesverdict here
Qwen2.5-Coder 4kv/128hd ✅ Runs comfortably
StarCoder2 4kv/128hd ✅ Runs (tight)
Yi 1.5 4kv/128hd 🐢 CPU-only (slow)
Qwen3 Coder 30B-A3B 4kv/128hd ❌ Won't fit
SmolLM3 3B 4kv/128hd ✅ Runs (tight)

Check any combo yourself: open the checker →