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

Oxlo.ai is a privacy-first inference stack for agents, built to run frontier-class open-source models with unlimited agentic tool calls, secure failover, and zero data retention or training. It gives developers request-based access to curated open models through a unified HTTP API designed for predictable usage, low-latency inference, and clean integration into production systems. Teams can call models through OpenAI-compatible endpoints, switch from another provider by changing the base URL and API key, and keep support for streaming, function calling, JSON mode, vision models, embeddings, and image generation. Oxlo.ai supports more than 40 models across text, chat, reasoning, coding, image generation, audio, embeddings, computer vision, vision-language, speech-to-text, text-to-speech, long-context, and detection workflows.

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

AI infrastructure teams that need private, OpenAI-compatible access to open models for agents, RAG, coding, vision, audio, and production inference workflows

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

$80 per month
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

Oxlo.ai
United Arab Emirates
www.oxlo.ai/

Alternatives

Alternatives

HunyuanOCR

HunyuanOCR

Tencent
MedGemma

MedGemma

Google DeepMind
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

Gemma 3
Llama 3.2
Qwen3
Amazon Bedrock
DeepSeek R1
DeepSeek-V3.2
DeepSeek-V4-Pro
ElevenLabs
FLUX.1
Gemma 4
Hugging Face
Kimi K2 Thinking
Llama 4 Maverick
MiniMax M2.5
Mistral 7B
OpenAI
Qwen2.5
Qwen3-Coder
Stable Diffusion
gpt-oss-120b

Integrations

Gemma 3
Llama 3.2
Qwen3
Amazon Bedrock
DeepSeek R1
DeepSeek-V3.2
DeepSeek-V4-Pro
ElevenLabs
FLUX.1
Gemma 4
Hugging Face
Kimi K2 Thinking
Llama 4 Maverick
MiniMax M2.5
Mistral 7B
OpenAI
Qwen2.5
Qwen3-Coder
Stable Diffusion
gpt-oss-120b
Claim LFM2.5 and update features and information
Claim LFM2.5 and update features and information
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Claim Oxlo.ai and update features and information