LFM2.5 Models — Hardware Requirements
11 LFM2.5 models from Liquid AI and the community, from the smallest that runs in 0.5 GB of VRAM up to 8.5B parameters. Every row links to full quantization tables and GPU compatibility.
All LFM2.5 Models by Size
| Model | Params | Runs from | Context | Publisher | Quant downloads |
|---|---|---|---|---|---|
| LFM2.5 230M | 230M | 0.5 GB | 128K | ||
| LFM2.5 350M | 354M | 0.5 GB | 128K | ||
| LFM2.5 350M Base | 354M | 0.5 GB | 128K | ||
| LFM2.5 1.2B Instruct | 1.2B | 0.8 GB | 128K | ||
| LFM2.5 1.2B Thinking | 1.2B | 0.9 GB | 128K | ||
| LFM2.5 1.2B JP 202606 | 1.2B | 0.9 GB | 128K | ||
| LFM2.5 1.2B Base | 1.2B | 0.9 GB | 128K | ||
| LFM2.5 1.2B Instruct Uncensored | 1.2B | 0.9 GB | 128K | ||
| LFM2.5 8B A1B | 8.5B | 2.7 GB | 128K | ||
| LFM2.5 8B A1B Base | 8.5B | 4 GB | 128K | ||
| LFM2.5 8B A1B Opus Distil | 8.5B | 4 GB | 128K | ||
| Huihui LFM2.5 8B A1B Abliterated | 8.5B | 4 GB | 128K |
Frequently Asked Questions
- How much VRAM do I need to run a LFM2.5 model?
- The smallest LFM2.5 model, LFM2.5 230M, runs from 0.5 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which LFM2.5 models can I run on a 16 GB GPU?
- 12 of 12 LFM2.5 models fit in 16 GB of VRAM at some quantization, including LFM2.5 1.2B Instruct, LFM2.5 8B A1B, LFM2.5 230M.
- What is the most popular LFM2.5 model to run locally?
- LFM2.5 1.2B Instruct is the most downloaded LFM2.5 model in local-friendly quantized formats. It runs from 0.8 GB of VRAM.