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Liquid AI releases LFM3-VL-2B on-device vision-language model

Original title: LiquidAI/LFM3-VL-2B — new model trending #30 on Hugging Face

Hugging Face trending modelsby LiquidAI ()9 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The 1.92B model takes text, images, and video, reasons step by step, and uses the LFM Open License v1.0.

Liquid AI published LFM3-VL-2B, a post-trained vision-language model for on-device visual understanding, now trending on Hugging Face. It pairs the LFM3 language model with an in-house vision encoder and accepts text, images, and video. Liquid AI says it is the first LFM vision model with video input, plus step-by-step thinking and spatial reasoning, and is not recommended for coding, multi-turn chat, or complex reasoning.

Key facts
  • Parameters total 1.92B: 1.73B language model, 164M vision encoder, and 25M projector.
  • Context length is 128K tokens with a 128,000-token vocabulary.
  • Video is sampled at 2 fps, with 4 to 768 frames by default.
  • The card lists 16 languages, including English, Arabic, Chinese, and Hindi.
  • License is LFM Open License v1.0.
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From the original article

9 min read at huggingface.co

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Hugging Face trending models

By LiquidAI · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.