SmolLM2 on NVIDIA GeForce RTX 4090 · 24GB VRAM

✅ Runs comfortably — SmolLM2 1.7B @ FP16
SmolLM2 1.7B at FP16 needs ~5.2 GB (weights 3.2 GB + KV 1.5 GB + overhead 512 MB @ 8K ctx) of your 21.6 GB usable VRAM — plenty of headroom. Expect ~85–150 tok/s (very fast).
context @ FP16: comfortable to 8K
quantneedsspeed
✓ FP165.2 GB~85–150 tok/s (very fast)
✓ Q8_03.7 GB~130–210 tok/s (very fast)
✓ Q4_K_M3.0 GB~170–280 tok/s (very fast)
$runlocal install smollm2:1.7b
⚠ NVIDIA support is best-effort in v0.1 — verify before relying on it.
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
SmolLM2: 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 4090: DeepSeek-R1 (distill) · Qwen3 · Qwen2.5 · Gemma 3 · Gemma 4

Best models for a NVIDIA GeForce RTX 4090 · 24GB VRAM →

Check any combo yourself: open the checker →