Can RTX 4060 Ti 8GB run OLMo-2-1124-13B-Instruct?

NVIDIA · 8 GB GDDR6 · 288 GB/s bandwidth · allenai · 13.7B · model ctx up to NoneK

CUDA

No — OLMo-2-1124-13B-Instruct at Q4 needs ≈ 9.91 GB even at 4K context, beyond the RTX 4060 Ti 8GB's 8 GB GDDR6. It would only run with heavy CPU/disk offload. Decode at Q4/8K: ≈ 19.1 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.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	9.91 GB	No	24.8 ± est.
Q4	8K default	11.28 GB	No	19.1 ± est.
Q4	32K	19.5 GB	No	6.4 ± est.
FP16	4K	29.77 GB	No	0.8 ± est.
FP16	8K default	31.14 GB	No	0.7 ± est.
FP16	32K	39.36 GB	No	—

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

Quant	Weights	KV cache	Overhead	Total needed	RTX 4060 Ti 8GB VRAM
Q4	7.54 GB	2.74 GB	1 GB	11.28 GB	8 GB
FP16	27.4 GB	2.74 GB	1 GB	31.14 GB	8 GB

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

• B200 192GB SXM — ≈371.6 tok/s Q4 est.
• MI300X 192GB — ≈246.2 tok/s Q4 est.
• H200 141GB SXM5 — ≈223.0 tok/s Q4 est.
• H100 80GB SXM5 — ≈155.6 tok/s Q4 est.
• Gaudi 3 128GB — ≈152.2 tok/s Q4 est.
• A100 80GB SXM4 — ≈94.7 tok/s Q4 est.
• RTX 5090 32GB — ≈83.2 tok/s Q4 est.
• RTX 4090 24GB — ≈46.8 tok/s Q4 est.

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

Other models for the RTX 4060 Ti 8GB

• MiniCPM5-1B — ≈169.7 tok/s Q4 est.
• Qwen3.5-2B — ≈91.6 tok/s Q4 est.
• DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx — ≈79.7 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈57.3 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈45.8 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈45.8 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈45.8 tok/s Q4 est.
• gemma-4-E2B-it — ≈35.9 tok/s Q4 est.

All models on the RTX 4060 Ti 8GB →