LFM2.5Liquid AI
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Related Products
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LFM2.5:
About
Liquid AI’s LFM2.5 is the next generation of on-device AI foundation models designed to deliver high-performance, efficient AI inference on edge devices such as phones, laptops, vehicles, IoT systems, and embedded hardware without relying on cloud compute. It extends the previous LFM2 architecture by significantly increasing the pretraining scale and reinforcement learning stages, yielding a family of hybrid models around 1.2 billion parameters that balance instruction following, reasoning, and multimodal capabilities for real-world agentic use cases. The LFM2.5 family includes Base (for fine-tuning and customization), Instruct (general-purpose instruction-tuned), Japanese-optimized, Vision-Language, and Audio-Language variants, all optimized for fast, on-device inference under tight memory constraints and available as open-weight models deployable via frameworks like llama.cpp, MLX, vLLM, and ONNX.
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ModelMatch:
About
ModelMatch is an online platform that allows users to compare top open source vision-language models for image-understanding tasks without the need for coding. Users can upload up to four images and input specific prompts to receive detailed analyses from multiple models simultaneously. It evaluates models ranging from 1 billion to 12 billion parameters, all of which are open source with commercial licenses. For each model, ModelMatch provides a quality score (1-10) based on the model's performance for the given use case, processing time metrics, and real-time status updates during processing.
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LFM2.5:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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ModelMatch:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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LFM2.5:
Audience
Developers and organizations building on-device AI applications and intelligent agents that need efficient, high-quality AI models capable of running locally on consumer, edge, or embedded hardware
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ModelMatch:
Audience
Data scientists and machine learning engineers requiring a tool to evaluate and compare open source vision-language models for image analysis tasks
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LFM2.5:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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ModelMatch:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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LFM2.5:
API
Offers API
Not Supported
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ModelMatch:
API
Offers API
Not Supported
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LFM2.5:
Screenshots and Videos |
ModelMatch:
Screenshots and Videos |
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LFM2.5:
Pricing
Free
Free Version
Supported
Free Trial
Supported
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ModelMatch:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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LFM2.5:
Reviews/
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ModelMatch:
Reviews/
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LFM2.5:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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ModelMatch:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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LFM2.5:
Company InformationLiquid AI
Founded: 2023
United States
www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai
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ModelMatch:
Company InformationModelMatch
www.findbestmodel.app/
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LFM2.5:
Alternatives |
ModelMatch:
Alternatives |
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LFM2.5:
Categories |
ModelMatch:
Categories |
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LFM2.5:
Integrations
Llama 3.2
Supported
Amazon Bedrock
Supported
ElevenLabs
Supported
Gemma 3
Supported
Gemma 4
Supported
Hugging Face
Supported
Janus-Pro-7B
Not Supported
LEAP
Supported
Llama
Supported
Pixtral Large
Not Supported
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ModelMatch:
Integrations
Llama 3.2
Supported
Amazon Bedrock
Not Supported
ElevenLabs
Not Supported
Gemma 3
Not Supported
Gemma 4
Not Supported
Hugging Face
Not Supported
Janus-Pro-7B
Supported
LEAP
Not Supported
Llama
Not Supported
Pixtral Large
Supported
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LFM2.5:
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ModelMatch:
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