SmolLM3 3B on NVIDIA GeForce RTX 5090 · 32GB VRAM

✅ Runs comfortably — SmolLM3 3B @ Q8_0
SmolLM3 3B 3B at Q8_0 needs ~4.1 GB (weights 3.1 GB + KV 576 MB + overhead 512 MB @ 8K ctx) of your 28.8 GB usable VRAM — plenty of headroom. Expect ~200–330 tok/s (very fast).
context @ Q8_0: comfortable to 64K
quantneedsspeed
✓ Q8_04.1 GB~200–330 tok/s (very fast)
✓ Q5_K_M3.1 GB~280–460 tok/s (very fast)
✓ Q4_K_M2.8 GB~310–520 tok/s (very fast)
⚠ NVIDIA support is best-effort in v0.1 — verify before relying on it.
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SmolLM3 3B: 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 NVIDIA GeForce RTX 5090: DeepSeek-R1 (distill) · Qwen2.5 · Qwen3 · Llama 3.1 · Gemma 3

Best models for a NVIDIA GeForce RTX 5090 · 32GB VRAM →

Architecturally similar

These share SmolLM3 3B's KV-cache geometry — they size memory the same way, so here's how they fit on a NVIDIA GeForce RTX 5090 · 32GB VRAM too:

modelsharesverdict here
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Yi-Coder 9B 4kv/128hd ✅ Runs comfortably

Check any combo yourself: open the checker →