LiquidAI has released two new models, LFM3-Omni-2B and LFM3-1.7B-Base, designed for efficient local inference on various devices. The LFM3-Omni-2B is an omni-modal model capable of processing text, images, video, and audio, while the LFM3-1.7B-Base is a text-focused model optimized for edge devices and fine-tuning. Both models offer detailed instructions for integration with popular tools and libraries such as llama.cpp, Ollama, vLLM, and Hugging Face Transformers. AI
IMPACT These models offer efficient, localized AI capabilities, potentially enabling wider adoption of advanced AI on edge devices and specialized applications.
RANK_REASON The cluster contains direct announcements from LiquidAI of new model releases on Hugging Face. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
Read on Hugging Face Trending Models →
- Docker
- Docker Model Runner
- Google Colab
- Hermes Agent
- Hugging Face
- Kaggle
- Lemonade
- LiquidAI
- LiquidAI/LFM3-1.7B-Base
- LiquidAI/LFM3-Omni-2B-GGUF
- llama.cpp
- Ollama
- OpenClaw
- SGLang
- transformers
- vLLM
AI-generated summary · Google Gemini · from 2 sources. How we write summaries →