Rinna Japanese Gpt Neox Small speed on RTX 5080 and quantization-level VRAM fit.
RTX 5080 meets the minimum VRAM requirement for Q4 inference of Rinna Japanese Gpt Neox Small. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5080 can run Rinna Japanese Gpt Neox Small with Q4 quantization. At approximately 190 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 16GB | 189.72 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 16GB | 132.81 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 16GB | 72.09 tok/s | ✅ Fits comfortably |
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RTX 5080 can run Rinna Japanese Gpt Neox Small at Q4 with an estimated 190 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 5080 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.