Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
57.4 tok/s
TTFT
3375 ms
Safe context
4K
Memory
29.7 GB / 40.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 57.4 tok/s | 4910 ms | 4K |
| Chat | C | Runs well | 57.4 tok/s | 1841 ms | 4K |
| Coding | B | Runs well | 57.4 tok/s | 3375 ms | 4K |
| RAG | C | Tight fit | 57.4 tok/s | 6137 ms | 4K |
| Reasoning | B | Runs well | 57.4 tok/s | 3989 ms | 4K |
How OLMo 2 32B (32B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | D36 |
Q3_K_S | 3 | 15.7 GB | Low | D37 |
NVFP4 | 4 |
huggingface-cli download olmo-2-32b17.9 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 19.5 GB | Medium | D39 |
Q5_K_M | 5 | 23.0 GB | High | C41 |
Q6_KBest for your GPU | 6 | 26.2 GB | High | C43 |
Q8_0 | 8 | 34.2 GB | Very High | C44 |
F16 | 16 | 65.6 GB | Maximum | F0 |