OLMo 2 32B needs ~27.8 GB VRAM. RTX 5090 32GB has 32.0 GB. With Q4_K_M quantization, expect ~66 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
66.4 tok/s
TTFT
2914 ms
Safe context
4K
Memory
27.8 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 66.4 tok/s | 1590 ms | 4K |
| Coding | S | Tight fit | 66.4 tok/s | 2914 ms | 4K |
| Agentic Coding | S | Runs with offload | 66.4 tok/s | 4239 ms | 4K |
| Reasoning | S | Tight fit | 66.4 tok/s | 3444 ms | 4K |
| RAG | S | Runs with offload | 66.4 tok/s | 5299 ms | 4K |
How OLMo 2 32B (32B params) fits at each quantization level on RTX 5090 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | A80 |
Q3_K_S | 3 | 15.7 GB | Low | A82 |
NVFP4 | 4 |
Copy-paste commands to run OLMo 2 32B on your machine.
Run
lms load OLMo-2-0325-32B-Instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 35B | S | 128.2 tok/s | ||
Yes, RTX 5090 32GB can run OLMo 2 32B with a S grade (Tight fit). Expected decode speed: 66.4 tok/s.
OLMo 2 32B (32B parameters) requires approximately 27.8 GB of memory with Q4_K_M quantization.
The recommended quantization for OLMo 2 32B is Q4_K_M, which balances quality and memory efficiency.
On RTX 5090 32GB, OLMo 2 32B achieves approximately 66.4 tokens per second decode speed with a time-to-first-token of 2914ms using Q4_K_M quantization.
For coding workloads, OLMo 2 32B on RTX 5090 32GB receives a S grade with 66.4 tok/s and 4K context.
On RTX 5090 32GB, OLMo 2 32B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/olmo-2-32b-on-rtx-5090-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
17.9 GB |
| Medium |
| A82 |
Q4_K_M | 4 | 19.5 GB | Medium | A81 |
Q5_K_MBest for your GPU | 5 | 23.0 GB | High | A81 |
Q6_K | 6 | 26.2 GB | High | F0 |
Q8_0 | 8 | 34.2 GB | Very High | F0 |
F16 | 16 | 65.6 GB | Maximum | F0 |
| 35B |
| S |
| 139.4 tok/s |
| 48B | A | 26.7 tok/s |