Ministral 3 3B Instruct 2512 needs ~6.3 GB VRAM. RTX 5090 32GB has 32.0 GB. With Q4_K_M quantization, expect ~57 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
57.0 tok/s
TTFT
3396 ms
Safe context
1.2M
Memory
6.3 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 | C | Runs well | 57.0 tok/s | 1853 ms | 1.2M |
| Coding | C | Runs well | 57.0 tok/s | 3396 ms | 1.2M |
| Agentic Coding | C | Runs well | 57.0 tok/s | 4940 ms | 1.2M |
| Reasoning | C | Runs well | 57.0 tok/s | 4014 ms | 1.2M |
| RAG | C | Runs well | 57.0 tok/s | 6175 ms | 1.2M |
How Ministral 3 3B Instruct 2512 (3B params) fits at each quantization level on RTX 5090 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | C43 |
Q3_K_S | 3 | 1.5 GB | Low | C43 |
NVFP4 | 4 | 1.7 GB | Medium | C43 |
Q4_K_M | 4 | 1.8 GB | Medium | C43 |
Q5_K_M | 5 | 2.2 GB | High | C43 |
Q6_K | 6 | 2.5 GB | High | C43 |
Q8_0 | 8 | 3.2 GB | Very High | C43 |
F16Best for your GPU | 16 | 6.1 GB | Maximum | C44 |
Copy-paste commands to run Ministral 3 3B Instruct 2512 on your machine.
Run
lms load hf-mistralai--ministral-3-3b-instruct-2512-gguf && lms server startYes, RTX 5090 32GB can run Ministral 3 3B Instruct 2512 with a C grade (Runs well). Expected decode speed: 57.0 tok/s.
Ministral 3 3B Instruct 2512 (3B parameters) requires approximately 6.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Ministral 3 3B Instruct 2512 is Q4_K_M, which balances quality and memory efficiency.
On RTX 5090 32GB, Ministral 3 3B Instruct 2512 achieves approximately 57.0 tokens per second decode speed with a time-to-first-token of 3396ms using Q4_K_M quantization.
For coding workloads, Ministral 3 3B Instruct 2512 on RTX 5090 32GB receives a C grade with 57.0 tok/s and 1.2M context.
On RTX 5090 32GB, Ministral 3 3B Instruct 2512 can safely use up to 1.2M tokens of context. The model's official context limit is —, 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/hf-mistralai--ministral-3-3b-instruct-2512-gguf-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: