Vikhyatk Moondream2 speed on RTX 4060 Ti 8GB and quantization-level VRAM fit.
RTX 4060 Ti 8GB meets the minimum VRAM requirement for Q4 inference of Vikhyatk Moondream2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 Ti 8GB can run Vikhyatk Moondream2 with Q4 quantization. At approximately 61 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 7GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 8GB | 60.63 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 8GB | 42.44 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 8GB | 23.04 tok/s | ✅ Fits comfortably |
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RTX 4060 Ti 8GB can run Vikhyatk Moondream2 at Q4 with an estimated 61 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 4060 Ti 8GB has 8GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.