LFM2.5

LFM2.5

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

NativeMind is an open source, on-device AI assistant that runs entirely in your browser via Ollama integration, ensuring absolute privacy by never sending data to the cloud. Everything, from model inference to prompt processing, occurs locally, so there’s no syncing, logging, or data leakage. Users can load and switch between powerful open models such as DeepSeek, Qwen, Llama, Gemma, and Mistral instantly, without additional setup, and leverage native browser features for streamlined workflows. NativeMind offers clean, concise webpage summarization; persistent, context-aware chat across multiple tabs; local web search that retrieves and answers queries directly within the page; and immersive, format-preserving translation of entire pages. Built for speed and security, the extension is fully auditable and community-backed, delivering enterprise-grade performance for real-world use cases without vendor lock-in or hidden telemetry.

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

Privacy-focused professionals and teams needing a solution for secure summarization, chat, search, and translation without any cloud data exposure

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

NativeMind
United States
nativemind.app/

Alternatives

Alternatives

HunyuanOCR

HunyuanOCR

Tencent
MedGemma

MedGemma

Google DeepMind

Categories

Categories

Integrations

Llama
Amazon Bedrock
DeepSeek
ElevenLabs
Gemma
Gemma 3
Gemma 4
Hugging Face
LEAP
Llama 3.2
Medium
Mistral AI
NotebookLM
Ollama
Phi-2
Phi-3
Phi-4
Qwen
Qwen3

Integrations

Llama
Amazon Bedrock
DeepSeek
ElevenLabs
Gemma
Gemma 3
Gemma 4
Hugging Face
LEAP
Llama 3.2
Medium
Mistral AI
NotebookLM
Ollama
Phi-2
Phi-3
Phi-4
Qwen
Qwen3
Claim LFM2.5 and update features and information
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