Can I Run / Ministral 3 14B / on AMD RX 7600 XT
Can I Run Ministral 3 14B on a AMD RX 7600 XT?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
14.0B
GPU memory
16.0GB
Smallest quant
Q2_K
Best fit
Q8_0
12 quantizations fit your 16.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 15.9 GB | 17.4 GB | 14.4 GB | +0.1 GB |
| Q6_K | 12.5 GB | 14.0 GB | 11.1 GB | +3.5 GB |
| Q5_K_M | 10.9 GB | 12.4 GB | 9.6 GB | +5.1 GB |
| Q5_K_S | 10.7 GB | 12.2 GB | 9.4 GB | +5.3 GB |
| Q4_1 | 9.8 GB | 11.3 GB | 8.6 GB | +6.3 GB |
| Q4_K_M | 9.5 GB | 11.0 GB | 8.2 GB | +6.5 GB |
| Q4_K_S | 9.0 GB | 10.5 GB | 7.8 GB | +7.0 GB |
| Q4_0 | 8.9 GB | 10.4 GB | 7.8 GB | +7.1 GB |
| Q3_K_L | 7.2 GB | 8.7 GB | 7.2 GB | +8.8 GB |
| Q3_K_M | 6.9 GB | 8.4 GB | 6.7 GB | +9.1 GB |
| Q3_K_S | 6.4 GB | 7.9 GB | 6.1 GB | +9.6 GB |
| Q2_K | 5.6 GB | 7.1 GB | 5.3 GB | +10.4 GB |
Try it in the cloud first
Don't want to download Ministral 3 14B just to try it? Use a hosted API or rent a GPU by the second.
Affiliate links — we earn a commission at no cost to you.
Advertisement
Full model details
Ministral 3 14B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD RX 7600 XT →
Top-ranked open-source models that fit in 16.0GB.
FAQ
Can the AMD RX 7600 XT run Ministral 3 14B?
Yes. The AMD RX 7600 XT's 16.0GB of VRAM is enough to run Ministral 3 14B at Q8_0 quantization (15.9GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 16.0GB. It uses about 15.9GB of memory and 17.4GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.