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Average Ratings 0 Ratings

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ease
features
design
support

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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

Locally AI is an innovative application that empowers users to utilize advanced language models directly on their iPhone, iPad, or Mac without needing cloud services or an internet connection. Leveraging Apple’s MLX framework, it provides quick and efficient performance while keeping power consumption low, thus ensuring a fluid experience for chatting, creating, learning, and discovering AI capabilities across various devices. The app supports a range of open models, including Llama, Gemma, Qwen, and DeepSeek, enabling users to easily switch between them and customize outputs for various tasks. Operating entirely offline, it eliminates the need for logins and ensures that no data is collected or transmitted, thereby guaranteeing complete privacy and control over personal information. Users can engage with AI through natural dialogue, assess documents or images, and produce text within a user-friendly interface that prioritizes simplicity and responsiveness. This design fosters greater creativity and exploration, further enhancing the overall user experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemma 4
Hugging Face
Llama
Amazon Bedrock
Cogito
DeepSeek
ElevenLabs
Gemma
Gemma 3
IBM Granite
LEAP
Llama 3.2
Qwen
Qwen3
SmolLM2

Integrations

Gemma 4
Hugging Face
Llama
Amazon Bedrock
Cogito
DeepSeek
ElevenLabs
Gemma
Gemma 3
IBM Granite
LEAP
Llama 3.2
Qwen
Qwen3
SmolLM2

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

Locally AI

Country

United States

Website

locallyai.app/

Product Features

Product Features

Alternatives

Alternatives

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