LFM2.5

LFM2.5

Liquid AI
Liquid Apollo

Liquid Apollo

Liquid AI
+
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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.

About

Liquid Apollo is a lightweight mobile application designed for fully on-device, cloud-free AI interactions, enabling users to engage with advanced language and vision models securely, privately, and with low latency. It supports a library of small foundation models from the company’s LEAP platform, allowing users to draft messages, emails, chat with a private AI assistant, craft digital characters, or use image-to-text capabilities, all without an internet connection and with no data leaving the device. Apollo is optimized for real-time responsiveness and offline operation, ensuring that inference happens entirely locally, with no API calls, servers, or user-data logging involved. It serves as both a personal AI playground and a testing bed for developers using LEAP models, letting one “vibe-check” how a model performs on their own mobile hardware before broader deployment.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Individuals and developers seeking a solution to improve productivity and test on-device models before deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/apollo

Alternatives

Alternatives

LEAP

LEAP

Liquid AI
MedGemma

MedGemma

Google DeepMind
Crosby Health Apollo

Crosby Health Apollo

Crosby Health
HunyuanOCR

HunyuanOCR

Tencent
Qwen2

Qwen2

Alibaba
LFM2.5

LFM2.5

Liquid AI

Categories

Categories

Integrations

Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
LEAP
Liquid AI
Llama
Llama 3.2
OpenRouter
Qwen3

Integrations

Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
LEAP
Liquid AI
Llama
Llama 3.2
OpenRouter
Qwen3
Claim LFM2.5 and update features and information
Claim LFM2.5 and update features and information
Claim Liquid Apollo and update features and information
Claim Liquid Apollo and update features and information