Can I Run Ministral 3 8B on a NVIDIA GTX 1660 Ti?
Runs at Q4_K_M — good quality with reasonable headroom.
1 quant fit your 6.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 5.8 GB | 7.3 GB | 4.8 GB | +0.2 GB |
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FAQ
Can the NVIDIA GTX 1660 Ti run Ministral 3 8B?
Yes. The NVIDIA GTX 1660 Ti's 6.0GB of VRAM is enough to run Ministral 3 8B at Q4_K_M quantization (5.8GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 6.0GB. It uses about 5.8GB of memory and 7.3GB 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.