Specifications
Ultra-Light
Smallest LFM2.5 footprint for the tightest memory budgets
Data Extraction
Powers large-scale extraction pipelines
Edge-Ready
Fast on-device agentic tasks and tool calling
Quick Start
- Transformers
- llama.cpp
- vLLM
- SGLang
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
🚀 New: LFM2.5-VL-450M — our smallest vision model is now available! Learn more →
Ultra-compact 230M parameter model for data extraction and lightweight on-device agentic tasks
| Property | Value |
|---|---|
| Parameters | 230M |
| Context Length | 32K tokens |
| Architecture | LFM2.5 (Dense) |
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