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

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.

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

Run AI off-cloud at scale: on-prem infrastructure plus the tooling to use your data, with nothing leaving your estate.

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

No images available

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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

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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
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

Locai
Founded: 2026
United Kingdom
www.locai.co.uk

Alternatives

Alternatives

HunyuanOCR

HunyuanOCR

Tencent
MedGemma

MedGemma

Google DeepMind
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

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

Integrations

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