Can Mistral Small 3.2 24B run on RTX PRO 4500 Blackwell 32GB?
YES — Runs Great
Mistral Small 3.2 24B needs ~21.5 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~55 tok/s.
Operating mode
Choose the run profile you care about
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
Runs well
Decode
55.3 tok/s
TTFT
3503 ms
Safe context
85K
Memory
21.5 GB / 32.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 55.3 tok/s | 1911 ms | 85K |
| Coding | S | Runs well | 55.3 tok/s | 3503 ms | 85K |
| Agentic Coding | S | Runs well | 55.3 tok/s | 5095 ms | 85K |
| Reasoning | S | Runs well | 55.3 tok/s | 4140 ms | 85K |
| RAG | S | Runs well | 55.3 tok/s | 6369 ms | 85K |
Quantization options
How Mistral Small 3.2 24B (24B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | A80 |
Q3_K_S | 3 | 11.8 GB | Low | A81 |
NVFP4 | 4 | 13.4 GB | Medium | A82 |
Q4_K_M | 4 | 14.6 GB | Medium | A82 |
Q5_K_M | 5 | 17.3 GB | High | A83 |
Q6_K | 6 | 19.7 GB | High | A83 |
Q8_0Best for your GPU | 8 | 25.7 GB | Very High | A82 |
F16 | 16 | 49.2 GB | Maximum | F0 |
Get started
Copy-paste commands to run Mistral Small 3.2 24B on your machine.
Run
ollama run mistral-small3.2Your hardware
