Ministral 3 14B needs ~14.4 GB VRAM. RX 7600 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~21 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
Tight fit
Decode
21.0 tok/s
TTFT
9207 ms
Safe context
27K
Memory
14.4 GB / 16.0 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 | A | Tight fit | 21.0 tok/s | 5022 ms | 27K |
| Coding | A | Tight fit | 21.0 tok/s | 9207 ms | 27K |
| Agentic Coding | A | Runs with offload (needs ~0.4 GB host RAM) | 14.2 tok/s | 19845 ms | 27K |
| Reasoning | A | Tight fit | 21.0 tok/s | 10881 ms | 27K |
| RAG | A | Runs with offload (needs ~0.4 GB host RAM) | 14.2 tok/s | 24806 ms | 27K |
How Ministral 3 14B (14B params) fits at each quantization level on RX 7600 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A84 |
Q3_K_S | 3 | 6.9 GB | Low | S86 |
NVFP4 | 4 | 7.8 GB | Medium | S87 |
Q4_K_M | 4 | 8.5 GB | Medium | S86 |
Q5_K_M | 5 | 10.1 GB | High | S86 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | S86 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |
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 |
|---|---|---|---|---|
 Phi-4-reasoning-plus 14B | 14.7B | S | 20 tok/s | |
 GPT-OSS 20B | 21B | A | 17.4 tok/s |
Yes, RX 7600 XT 16GB can run Ministral 3 14B with a A grade (Tight fit). Expected decode speed: 21.0 tok/s.
Ministral 3 14B (14B parameters) requires approximately 14.4 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 RX 7600 XT 16GB, Ministral 3 14B achieves approximately 21.0 tokens per second decode speed with a time-to-first-token of 9207ms using Q4_K_M quantization.
For coding workloads, Ministral 3 14B on RX 7600 XT 16GB receives a A grade with 21.0 tok/s and 27K context.
On RX 7600 XT 16GB, Ministral 3 14B can safely use up to 27K 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-rx-7600-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: