Can I Run Phi 3.5 Mini Instruct on a NVIDIA GTX 1650?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 4.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 3.7 GB | 5.2 GB | 2.7 GB | +0.3 GB |
| Q4_K_M | 3.3 GB | 4.8 GB | 2.3 GB | +0.7 GB |
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FAQ
Can the NVIDIA GTX 1650 run Phi 3.5 Mini Instruct?
Yes. The NVIDIA GTX 1650's 4.0GB of VRAM is enough to run Phi 3.5 Mini Instruct at Q5_K_M quantization (3.7GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 4.0GB. It uses about 3.7GB of memory and 5.2GB 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.