community pool / model answer
LFM2.5-1.2B-Instruct-GGUF
chat · LiquidAI/LFM2.5-1.2B-Instruct-GGUF
120.3 tok/s · model median · 31 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| M5 Pro 24GB | 4-bit | 267.8 tok/s | reported | 90 | - GB | 4,224 | llama.cpp |
| RTX 3090 24GB | 4-bit | 682.2 tok/s | measured | 25 | 2.4 GB | 24,576 | llama.cpp |
| RTX 3090 24GB | 6-bit | 564.4 tok/s | measured | 28 | 2.6 GB | 24,576 | llama.cpp |
| RX 570 4GB | 4-bit | 118 tok/s | measured | 26 | - GB | 2,048 | llama.cpp |
| RX 570 4GB ×2 | 4-bit | 120.6 tok/s | measured | 22 | - GB | 2,048 | 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.