LFM2.5

LFM2.5

Liquid AI
QVAC

QVAC

Tether Data
+
+

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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

QVAC SDK is a developer toolkit for adding on-device AI inference to applications built with JavaScript/TypeScript or Python. It provides a common API for running supported language, vision, and speech models on mobile and desktop devices, with model discovery and downloads, inference APIs, and optional remote providers. Developers can build offline-capable AI features and, for local inference, keep prompts and processing on the device. QVAC also offers an OpenAI-compatible server and plugins that connect local models to developer tools. The SDK is intended for developers building AI-enabled applications. Its documentation covers setup, model selection, text generation, image and audio tasks, and tool calling; available features depend on the selected model and platform. QVAC SDK is free, open-source software under Apache 2.0; local inference requires no hosted QVAC account.

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

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

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

Software developers and product teams building AI-enabled mobile, desktop, and other applications that need local or peer-to-peer AI inference.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version Supported
Free Trial Supported

Pricing

$0
Free and open source under Apache 2.0. Local inference has no subscription, API-key, or per-token charge.
Free Version Supported
Free Trial Not Supported

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:

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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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Tether Data
El Salvador
qvac.tether.io/products/sdk

Alternatives

LFM3

LFM3

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Alternatives

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Qwen2

Qwen2

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Recursive Flint

Recursive

Categories

AI Models Supported

Categories

AI SDKs Supported

Integrations

Hugging Face Supported
Amazon Bedrock Supported
ElevenLabs Supported
Gemma 3 Supported
Gemma 4 Supported
LEAP Supported
Llama Supported
Llama 3.2 Supported
OpenClaw Not Supported
OpenCode Not Supported
Qwen3 Supported

Integrations

Hugging Face Supported
Amazon Bedrock Not Supported
ElevenLabs Not Supported
Gemma 3 Not Supported
Gemma 4 Not Supported
LEAP Not Supported
Llama Not Supported
Llama 3.2 Not Supported
OpenClaw Supported
OpenCode Supported
Qwen3 Not Supported
Claim LFM2.5 and update features and information
Claim LFM2.5 and update features and information
Claim QVAC and update features and information
Claim QVAC and update features and information