community pool / model answer
OpenReasoning-Nemotron-32B-GGUF
chat · lmstudio-community/OpenReasoning-Nemotron-32B-GGUF
18.2 tok/s · model median · 12 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| RTX 3060 12GB ×2 | 4-bit | 15.4 tok/s | measured | - | 2.5 GB | 16,384 | llama.cpp |
| RTX 3090 24GB | 4-bit | 22.1 tok/s | measured | - | - GB | 65,536 | llama.cpp |
Context tested
The table above is the tested context for each exact rig and quantization cell. Empty fields remain empty rather than being filled with an estimate.