Can I Run OLMo 2 7B Instruct on NVIDIA GeForce RTX 3070?
Written by Jakub Rusinowski · Last updated July 12, 2026
Not at Q4_K_M — that needs 9.5 GB at 8K context and the NVIDIA GeForce RTX 3070 has 8 GB. Drop to Q2_K and it fits in 7.5 GB, with up to 4K of context.
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The numbers
| Model | OLMo 2 7B Instruct |
| Parameters | 7B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 9.5 GB |
| NVIDIA GeForce RTX 3070 VRAM | 8 GB |
| Verdict | Runs at a lower quant |
| Fits at | Q2_K (7.5 GB) |
| Max context | 4K |
OLMo 2 7B Instruct on the NVIDIA GeForce RTX 3070: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 19.7 GB | ✗ No | — | — |
| Q8_0 | 12.9 GB | ✗ No | — | — |
| Q6_K | 11.1 GB | ✗ No | — | — |
| Q5_K_M | 10.3 GB | ✗ No | — | — |
| Q4_K_M | 9.5 GB | ✗ No | — | — |
| Q3_K_M | 8.2 GB | ✗ No | — | — |
| Q2_K | 7.5 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 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
What to do next
Quantize to Q2_K. That is the cheapest fix — it costs some quality but no money.
No compatible GPU? OLMo 2 7B Instruct on 16 GB of system RAM, CPU only: runs.
Running OLMo 2 7B Instruct on this card:
OLMo 2 7B Instruct needs ~10 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Other OLMo 2 sizes on the NVIDIA GeForce RTX 3070
- OLMo 2 13B Instruct — does not fit (15.8 GB)
OLMo 2 7B Instruct on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs
All OLMo 2 sizes on the NVIDIA GeForce RTX 3070 | OLMo 2 7B Instruct model page | NVIDIA GeForce RTX 3070 GPU page | VRAM calculator | Check your hardware