← AI Hashrate 中文

Can RTX 4090 24GB run OLMo-2-1124-13B-Instruct?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · allenai · 13.7B · model ctx up to NoneK

AA · GreatComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

Yes — the RTX 4090 24GB (24 GB GDDR6X) can run OLMo-2-1124-13B-Instruct. At Q4 with the default 8K context it needs ≈ 11.28 GB VRAM (weights 7.54 GB + KV cache 2.74 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 46.8 tok/s (estimated, batch 1). FP16 needs ≈ 31.14 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy RTX 4090 24GB on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K9.91 GBYes46.8 ± est.
Q48K default11.28 GBYes46.8 ± est.
Q432K19.5 GBYes46.8 ± est.
FP164K29.77 GBNo23.9 ± est.
FP168K default31.14 GBNo21.8 ± est.
FP1632K39.36 GBNo13.6 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 4090 24GB VRAM
Q47.54 GB2.74 GB1 GB11.28 GB24 GB
FP1627.4 GB2.74 GB1 GB31.14 GB24 GB

Other GPUs that run OLMo-2-1124-13B-Instruct

All GPUs for OLMo-2-1124-13B-Instruct →

Other models for the RTX 4090 24GB

All models on the RTX 4090 24GB →