Hugging Face TransformersHugging Face
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LFM3Liquid AI
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Related Products
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About
Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. Use Transformers to train models on your data, build inference applications, and generate text with large language models. Explore the Hugging Face Hub today to find a model and use Transformers to help you get started right away. Simple and optimized inference class for many machine learning tasks like text generation, image segmentation, automatic speech recognition, document question answering, and more. A comprehensive trainer that supports features such as mixed precision, torch.compile, and FlashAttention for training and distributed training for PyTorch models. Fast text generation with large language models and vision language models. Every model is implemented from only three main classes (configuration, model, and preprocessor) and can be quickly used for inference or training.
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About
LFM3 is Liquid AI’s family of compact, open-weight foundation models for text, vision, audio, and multimodal tasks. The release includes text-generation, vision-language, audio, omni, and decision-model variants. Developers can download the model weights, adapt supported models through fine-tuning, and run them locally on edge hardware or access them through Liquid AI’s hosted API. Use cases include conversational assistants, tool calling, speech transcription and generation, image and video understanding, document extraction, classification, routing, and robotics applications. LFM3 is intended for developers, researchers, and organizations building specialized AI applications that need flexible deployment choices, including local inference. Open-weight models are available under Liquid AI’s LFM Open License; commercial eligibility and terms depend on an organization’s annual revenue.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Machine learning practitioners looking for a tool to train and deploy state-of-the-art models across NLP, vision, and audio tasks
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Audience
Developers, AI researchers, and organizations building specialized AI applications, including applications using local or edge inference.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$9 per month
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0.08/MTok
LFM3-1.7B API usage is $0.08 per million input tokens, $0.02 per million cached input tokens, and $0.20 per million output tokens. New organizations receive $2 in API credit. Open-weight models can be used in production free by developers, researchers, nonprofits, and businesses with less than $10 million in annual revenue; businesses above that threshold require a paid license.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationHugging Face
Founded: 2016
United States
huggingface.co/docs/transformers/en/index
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Company InformationLiquid AI
Founded: 2023
United States
www.liquid.ai/blog/lfm3
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Hugging Face
Supported
Hugging Face Transformers
Not Supported
LFM3
Supported
LM Studio
Not Supported
Nemotron 3.5 Bolt
Supported
Nemotron 3.5 Transcribe
Supported
Ollama
Not Supported
OpenRouter
Not Supported
PyTorch
Supported
Unsloth
Not Supported
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Integrations
Hugging Face
Supported
Hugging Face Transformers
Supported
LFM3
Not Supported
LM Studio
Supported
Nemotron 3.5 Bolt
Not Supported
Nemotron 3.5 Transcribe
Not Supported
Ollama
Supported
OpenRouter
Supported
PyTorch
Not Supported
Unsloth
Supported
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