Ministral 3 14B needs ~16.6 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~76 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
Runs well
Decode
75.8 tok/s
TTFT
2554 ms
Safe context
117K
Memory
16.6 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 | 75.8 tok/s | 1393 ms | 117K |
| Coding | S | Runs well | 75.8 tok/s | 2554 ms | 117K |
| Agentic Coding | S | Runs well | 75.8 tok/s | 3715 ms | 117K |
| Reasoning | S | Runs well | 75.8 tok/s | 3019 ms | 117K |
| RAG | S | Runs well | 75.8 tok/s | 4644 ms | 117K |
How Ministral 3 14B (14B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A79 |
Q3_K_S | 3 | 6.9 GB | Low | A79 |
NVFP4 | 4 |
Copy-paste commands to run Ministral 3 14B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "mistralai/Ministral-3-14B-Instruct-2512" \
--hf-file "Ministral-3-14B-Instruct-2512-Q4_K_M.gguf" \
-c 4096 -ngl 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 86.5 tok/s | ||
| 27B | S | 39.5 tok/s |
Yes, RTX PRO 4500 Blackwell 32GB can run Ministral 3 14B with a S grade (Runs well). Expected decode speed: 75.8 tok/s.
Ministral 3 14B (14B parameters) requires approximately 16.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Ministral 3 14B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 4500 Blackwell 32GB, Ministral 3 14B achieves approximately 75.8 tokens per second decode speed with a time-to-first-token of 2554ms using Q4_K_M quantization.
For coding workloads, Ministral 3 14B on RTX PRO 4500 Blackwell 32GB receives a S grade with 75.8 tok/s and 117K context.
On RTX PRO 4500 Blackwell 32GB, Ministral 3 14B can safely use up to 117K tokens of context. The model's official context limit is 262K, 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/ministral-3-14b-on-rtx-pro-4500-blackwell-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.8 GB |
| Medium |
| A80 |
Q4_K_M | 4 | 8.5 GB | Medium | A80 |
Q5_K_M | 5 | 10.1 GB | High | A81 |
Q6_K | 6 | 11.5 GB | High | A82 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | A83 |
F16 | 16 | 28.7 GB | Maximum | F0 |
| 27B | S | 39.6 tok/s |
| 30B | S | 89.5 tok/s |
| 35B | S | 79.1 tok/s |