LFM2.5 230M
LFM2.5-230M is a 230M-parameter lightweight language model built on the LFM2 architecture, designed for fast inference across edge and cloud environments. Pre-trained on 19T tokens with a 32K context window, it targets tool use, data extraction, and agentic workflows. Runs on CPUs including Raspberry Pi 5 and mobile SoCs. Not recommended for math, code generation, or creative writing.
- Type
- Text
- Weights
- Open
- Downloads
- 83k
- Likes
- 299
- Pipeline
- text generation
- License
- other
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LiquidAI/LFM2.5-230M
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- LiquidAI/LFM2.5-230M
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- transformers
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- Public
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Papers
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About Liquid AI
1
Liquid AI is an MIT spin-off building efficient general-purpose AI models (Liquid Foundation Models, or LFMs) that run on edge devices with less memory and power. They recently raised $250M in Series A funding to scale model development and deployment.