LFM2.5-230M: hardware requirements
LFM2.5-230M needs about 808 MB of memory at Q4 quantization — a 153 MB download plus room for context and overhead. That fits a machine with 8GB RAM.
Parameters
230M
Tier
Runs on a laptop
Licence
See model card
Released
2026-06-26
Will it run on your machine?
8GB RAMRuns well16GB RAMRuns well32GB RAMRuns well64GB RAMRuns well128GB RAMRuns well8GB VRAMRuns well12GB VRAMRuns well16GB VRAMRuns well24GB VRAMRuns well32GB VRAMRuns well
Download sizes by quantization
Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?
| Quant | Download | RAM @ 4K | RAM @ 32K | Source |
|---|---|---|---|---|
| Q4_K_Mrecommended | 153 MB | 808 MB | 1.6 GB | measured |
| Q5_K_M | 172 MB | 826 MB | 1.6 GB | measured |
| Q6_K | 191 MB | 845 MB | 1.7 GB | measured |
| Q8_0 | 247 MB | 901 MB | 1.7 GB | measured |
| BF16 | 462 MB | 1.1 GB | 1.9 GB | measured |
“Measured” sizes are read from published GGUF files (LiquidAI/LFM2.5-230M-GGUF). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.