tools
Liquid Foundation Models
Open foundation models for text, vision, audio, and task-specific AI that run locally on phones, laptops, edge devices, and servers.
Liquid Foundation Models are open-weight models for text, vision-language, audio, embeddings, extraction, translation, RAG, and other specialized tasks. They are designed for inference on CPUs, GPUs, and NPUs across local, cloud, hybrid, and on-device deployments.
Developers can download, run, fine-tune, and commercially deploy the models free under the LFM Open License while their company has less than $10 million in annual revenue. Larger companies need a commercial license; custom models, enterprise support, and deployment optimization are handled through Liquid AI.
Features
- Text models for chat, tool calling, structured output, reasoning, and classification
- Vision-language models for image understanding and multimodal tasks
- Audio-language models for speech, audio, and text generation
- Nano models for extraction, summarization, RAG, translation, and embeddings
- Runs on CPUs, GPUs, and NPUs across phones, laptops, vehicles, and edge devices
- Supports deployment with llama.cpp, MLX, ONNX, CoreML, SGLang, and vLLM
- Free commercial use under $10M annual company revenue
- LFM Open License permits modification, distribution, and private fine-tunes
Use cases
- Build private assistants that run locally on phones and laptops
- Deploy low-latency agents for vehicles, robots, and embedded devices
- Fine-tune models for proprietary company data and domain workflows
- Extract structured data from documents, images, and audio
- Run local RAG, translation, summarization, and classification systems
- Add speech and multimodal interaction to edge applications
Pros
Cons
Pricing
- Starting price
- Free
- Pricing checked
- 2026-09-19
Free
Free
- Download, run, and fine-tune every open LFM
- Commercial use free under $10M in annual revenue
- Deploy on mobile, edge, and on-premises hardware
- Keep fine-tuned models private with no copyleft