community pool / model answer
Ornith-1.0-35B-GGUF
chat · ornith-ai/Ornith-1.0-35B-GGUF
60.6 tok/s · model median · 30 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| Arc Pro B60 24GB | 4-bit | 62.7 tok/s | reported | 532 | - GB | 4,096 | llama.cpp |
| Arc Pro B60 24GB ×2 | 4-bit | 62.6 tok/s | reported | 532 | - GB | 4,096 | llama.cpp |
| RTX 3060 12GB ×2 | 4-bit | 85.9 tok/s | measured | 3,079 | 21.1 GB | 65,536 | llama.cpp |
| RTX 3090 24GB | 4-bit | 124.1 tok/s | reported | 94 | - GB | 262,144 | llama.cpp |
| RTX 3090 24GB ×2 | 4-bit | 136.5 tok/s | reported | 86 | - GB | 262,144 | llama.cpp |
| RTX 4070 12GB | 4-bit | 43.2 tok/s | measured | 393 | - GB | 2,048 | vllm |
| RTX 5090 32GB | 4-bit | 252.6 tok/s | reported | 1 | - GB | 2,048 | ollama |
| RX 5700 4GB | 4-bit | 27.4 tok/s | reported | 122 | - GB | 2,048 | llama.cpp |
| RX 5700 8GB | 4-bit | 27.4 tok/s | reported | 127 | - GB | 2,048 | llama.cpp |
| Ryzen AI Max 395 128GB | 4-bit | 43 tok/s | reported | 26,649 | 20.9 GB | 65,536 | llama.cpp |
| Ryzen AI Max 395 64GB | 4-bit | 60.6 tok/s | measured | 1,583 | 21.5 GB | 8,192 | 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.