LFM2.5Liquid AI
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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
Locai is the infrastructure and tooling to run AI off-cloud at scale. Everything runs on your own hardware, on-prem or in private cloud, with your data never leaving your estate.
The platform covers the full stack. Locai Link is the inference runtime: deploy LLMs, audio transcription, video processing and image detection on any hardware, from workstations to servers to edge devices. Locai Control is the orchestration plane: manage models, updates and policy across whole fleets of machines from one place, with output from one model flowing into the next for true multimodal data fusion. Locai Workspace gives teams a private AI workspace on top: chat, documents and assistants powered entirely by models running inside your organisation.
Locai is hardware agnostic and model flexible, running any GGUF, ONNX or TFLite model. Built in the UK for regulated organisations in financial services, nuclear, defence and critical infrastructure, and free to start.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
Run AI off-cloud at scale: on-prem infrastructure plus the tooling to use your data, with nothing leaving your estate.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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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 InformationLocai
Founded: 2026
United Kingdom
www.locai.co.uk
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Categories |
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Integrations
Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
LEAP
Llama
Llama 3.2
Qwen3
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Integrations
Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
LEAP
Llama
Llama 3.2
Qwen3
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