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Description
Liquid AI's LFM2.5 represents an advanced iteration of on-device AI foundation models, engineered to provide high-efficiency and performance for AI inference on edge devices like smartphones, laptops, vehicles, IoT systems, and embedded hardware without the need for cloud computing resources. This new version builds upon the earlier LFM2 framework by greatly enhancing the scale of pretraining and the stages of reinforcement learning, resulting in a suite of hybrid models that boast around 1.2 billion parameters while effectively balancing instruction adherence, reasoning skills, and multimodal functionalities for practical applications. The LFM2.5 series comprises various models including Base (for fine-tuning and personalization), Instruct (designed for general-purpose instruction), Japanese-optimized, Vision-Language, and Audio-Language variants, all meticulously crafted for rapid on-device inference even with stringent memory limitations. These models are also made available as open-weight options, facilitating deployment through platforms such as llama.cpp, MLX, vLLM, and ONNX, thus ensuring versatility for developers. With these enhancements, LFM2.5 positions itself as a robust solution for diverse AI-driven tasks in real-world environments.
Description
Make the switch to server-less AI effortlessly and start cutting costs immediately. Our solution is compatible with any NPU device and operating system. ZETIC.ai addresses the challenges faced by AI companies by providing on-device AI solutions powered by NPUs. You can finally eliminate the high costs associated with maintaining GPU servers and AI cloud services. Our server-less AI framework significantly lowers your expenses while streamlining operations. The automated pipeline we offer guarantees that the transition to on-device AI is completed in just one day, making it simple and efficient. We deliver a customized AI pipeline that encompasses data processing, deployment, hardware-specific optimization, and an on-device AI runtime library, facilitating a smooth switch to on-device AI. You can easily integrate targeted on-device AI model libraries through our automated process, which not only cuts down on GPU server expenses but also enhances security with serverless AI solutions. Our innovative technology at ZETIC.ai allows for the seamless transfer of AI models to on-device applications without compromising quality, ensuring that your AI capabilities remain robust and effective. By adopting our solutions, you can stay ahead in the fast-evolving AI landscape while maximizing your operational efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Bedrock
Android
Apple iOS
Arm Allinea Studio
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
Kotlin
LEAP
Integrations
Amazon Bedrock
Android
Apple iOS
Arm Allinea Studio
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
Kotlin
LEAP
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Liquid AI
Founded
2023
Country
United States
Website
www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai
Vendor Details
Company Name
ZETIC.ai
Country
South Korea
Website
zetic.ai/
