Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference
Article summary
Quick briefing — cleaned from the original RSS feed
Liquid AI released LFM2.5-230M, its smallest model yet. The 230M-parameter, open-weight model runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42 on a Raspberry Pi 5. Built on the LFM2 architecture, it targets tool use and data extraction, beating larger models like Qwen3.5-0.8B and Gemma 3 1B on instruction following.
1Key Takeaways
- Liquid AI released LFM2.5-230M, its smallest model yet.
- The 230M-parameter, open-weight model runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42 on a Raspberry Pi 5.
- Built on the LFM2 architecture, it targets tool use and data extraction, beating larger models like Qwen3.5-0.8B and Gemma 3 1B on instruction following.
2AIWedia Score
8.1/10
High relevance — worth your attention today
Based on source trust, recency, category impact, and story depth.
3Why it matters
Video AI is reshaping ads, social content, and entertainment with faster generation pipelines. MarkTechPost Video reports that liquid AI released LFM2.5-230M, its smallest model yet.
Explore related
Browse toolsVideo AI news
Explore curated video ai tools on AIWedia — compare, rank, and launch from our directory.
Full story on MarkTechPost Video
Read full articleHeadlines aggregated via RSS for discovery on AIWedia. Original content © MarkTechPost Video. We link to the source and do not republish full articles.