Can I Run OLMo 2 on NVIDIA GeForce RTX 4060 Ti 16GB?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, but it's tight — OLMo 2 13B Instruct at Q4_K_M needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead), leaving ~0.2 GB of the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, at ~22 tok/s (est.), with room for up to 4K context.
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NVIDIA GeForce RTX 4060 Ti 16GB Specs
| VRAM | 16 GB |
| Memory Bandwidth | 288 GB/s |
OLMo 2 13B Instruct on the NVIDIA GeForce RTX 4060 Ti 16GB: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 34.9 GB | ✗ No | — | — |
| Q8_0 | 22.1 GB | ✗ No | — | — |
| Q6_K | 18.7 GB | ✗ No | — | — |
| Q5_K_M | 17.2 GB | ✗ No | — | — |
| Q4_K_M | 15.8 GB | ✓ Yes | 4K | — |
| Q3_K_M | 13.4 GB | ✓ Yes | 4K | — |
| Q2_K | 12 GB | ✓ Yes | 4K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
No compatible GPU? OLMo 2 13B Instruct on 24 GB of system RAM, CPU only: runs.
OLMo 2 Sizes That Fit the NVIDIA GeForce RTX 4060 Ti 16GB (at 8K context)
| OLMo 2 13B Instruct | Q4_K_M · 15.8 GB at 8K context · ~22 tok/s (est.) |
| OLMo 2 7B Instruct | Q4_K_M · 9.5 GB at 8K context · ~37 tok/s (est.) |
At 2 hrs/day, buying (~$499) beats renting at $0.34/hr after about 2.0 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 4060 Ti 16GB have enough VRAM for OLMo 2?
Yes, but it's tight — OLMo 2 13B Instruct at Q4_K_M needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead), leaving ~0.2 GB of the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, at ~22 tok/s (est.), with room for up to 4K context.
Which quantization of OLMo 2 should I use on the NVIDIA GeForce RTX 4060 Ti 16GB?
OLMo 2 13B Instruct at Q4_K_M quantization needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead), estimated ~22 tokens/sec, up to 4K context.
Every OLMo 2 size on the NVIDIA GeForce RTX 4060 Ti 16GB
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| OLMo 2 13B Instruct | 15.8 GB | Runs | ~22 tok/s |
| OLMo 2 7B Instruct | 9.5 GB | Runs | ~37 tok/s |
OLMo 2 on Other GPUs
- OLMo 2 on NVIDIA GeForce RTX 5080
- OLMo 2 on NVIDIA GeForce RTX 5070 Ti
- OLMo 2 on NVIDIA GeForce RTX 5060 Ti 16GB
- OLMo 2 on NVIDIA GeForce RTX 4080 Super
- OLMo 2 on NVIDIA GeForce RTX 4080
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | OLMo 2 Model Page | NVIDIA GeForce RTX 4060 Ti 16GB GPU Page | VRAM calculator | Check Your Hardware