Can Mistral Small 3.2 24B run on RTX A4500 20GB?
YES — With Offload
Mistral Small 3.2 24B needs ~20.3 GB VRAM. RTX A4500 20GB has 20.0 GB. With Q4_K_M quantization, expect ~27 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
0.3 GB over capacity — needs offload or smaller quantization
Fit status
Runs with offload (needs ~0.2 GB host RAM)
Decode
26.7 tok/s
TTFT
7252 ms
Safe context
14K
Memory
20.3 GB / 20.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Best improvement path
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs with offload | 36.7 tok/s | 2881 ms | 14K |
| Coding | A | Runs with offload (needs ~0.2 GB host RAM) | 26.7 tok/s | 7252 ms | 14K |
| Agentic Coding | A | Very compromised (needs ~1.8 GB host RAM) | 21.0 tok/s | 13400 ms | 14K |
| Reasoning | A | Runs with offload (needs ~0.2 GB host RAM) | 26.7 tok/s | 8571 ms | 14K |
| RAG | A | Very compromised (needs ~1.8 GB host RAM) | 21.0 tok/s | 16750 ms | 14K |
Quantization options
How Mistral Small 3.2 24B (24B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | A85 |
Q3_K_S | 3 | 11.8 GB | Low | A84 |
NVFP4 | 4 | 13.4 GB | Medium | A84 |
Q4_K_MBest for your GPU | 4 | 14.6 GB | Medium | A84 |
Q5_K_M | 5 | 17.3 GB | High | F0 |
Q6_K | 6 | 19.7 GB | High | F0 |
Q8_0 | 8 | 25.7 GB | Very High | F0 |
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
