LFM2.5Liquid AI
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QVACTether Data
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Related Products
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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.
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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.
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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
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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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
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Audience
Software developers and product teams building AI-enabled mobile, desktop, and other applications that need local or peer-to-peer AI inference.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Supported
Free Trial
Supported
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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
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationLiquid AI
Founded: 2023
United States
www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai
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Company InformationTether Data
El Salvador
qvac.tether.io/products/sdk
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Alternatives |
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Categories |
Categories |
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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
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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
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