GPUs with 8–16GB VRAM may run Phi-2.7B/3.8B well, particularly in quantized forms (such as GGUF or AWQ). Phi-14B requires at least 24GB VRAM for quantized inference, and 40GB+ (like A100) for full-precision (FP16/FP32) inference.
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