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LFM3-Omni-2B (Liquid AI)
For on-device multimodal apps: a 2B omni-modal model supporting speech, images, and video
What is LFM3-Omni-2B (Liquid AI)
LFM3-Omni-2B is a 2B-parameter omni-modal model from Liquid AI for on-device applications, supporting speech, images, and video. Its weights are openly available on Hugging Face under the LFM Open License v1.0.
How to use
- Try it online in the Liquid AI playground (playground.liquid.ai) or the LFM3-Omni-2B WebGPU Space on Hugging Face.
- Install dependencies: pip install "transformers>=5.20.2" torch torchvision torchcodec accelerate pillow librosa soundfile.
- Load the model and processor from "LiquidAI/LFM3-Omni-2B" with trust_remote_code=True.
- Send text, images, video or audio in a chat;
- the processor applies the ChatML-like chat template for you.
- Choose the output with the system prompt, e.g.
- "Respond in text." or "Respond in interleaved text and audio." For on-device or server deployment, use the GGUF build with llama.cpp, or SGLang;
- fine-tune with the provided Colab notebooks.
Use cases
- Asking about a photo by voice Transcribing or translating speech Spoken voice chat with text and speech replies Answering questions about a video and its soundtrack together Replacing separate ASR, vision-language, LLM and TTS models on phones, laptops and edge devices
Price from official sources
Free
- Open weights available on Hugging Face under the LFM Open License v1.0.
Check the official site for current pricing · Price not yet checked by our editors
Source: huggingface.co · Info as of Nov 2, 2026
Company
- Name
- Liquid AI
Reviews
No reviews yet.
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