Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Dialpad Support Reviews & Ratings
    1,584 Ratings
    Company Website
  • LTX Reviews & Ratings
    181 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    26 Ratings
    Company Website
  • Adobe Firefly Reviews & Ratings
    25,003 Ratings
    Company Website
  • RingCentral RingEX Reviews & Ratings
    3,320 Ratings
  • RetailEdge Reviews & Ratings
    200 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Pensero Reviews & Ratings
    2 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    93 Ratings
    Company Website

What is Ling Studio?

Ling Studio is an online platform established by Ant Ling that enables users to explore the extensive possibilities of AI while evaluating the core functionalities of the Ling model series. This platform provides a smooth avenue for individuals to experiment with Ant Ling's models before accessing them through API connections, thereby improving the user experience in areas such as multi-turn reasoning, managing extensive contexts, generating multimodal content, and examining model behaviors in an interactive chat format. It is closely linked to Ant Ling's comprehensive array of models crafted for text generation, coding, reasoning, and various multimodal applications. The Ling models are adaptable large language models (LLMs) that utilize a Mixture of Experts architecture, striking a balance between high parameter counts and low activation expenses, which supports conversation, text production, and a wide range of content creation. Furthermore, the Ling models are designed to perform exceptionally well in deep reasoning and cognitive tasks, showcasing remarkable skills in mathematics, programming, and achieving outstanding results on extensive reasoning assessments, making them essential resources for users in search of advanced AI solutions. This pioneering strategy not only boosts user engagement but also paves the way for innovative applications within the AI domain, ultimately transforming how people interact with intelligent systems. Additionally, the platform encourages collaboration and knowledge sharing among users, fostering a vibrant community focused on the future of AI technology.

What is LFM2.5?

Liquid AI's LFM2.5 marks a significant evolution in on-device AI foundation models, designed to optimize efficiency and performance for AI inference across edge devices, including smartphones, laptops, vehicles, IoT systems, and various embedded hardware, all while eliminating reliance on cloud computing. This upgraded version builds on the previous LFM2 framework by significantly increasing the scale of pretraining and enhancing the stages of reinforcement learning, leading to a collection of hybrid models that feature approximately 1.2 billion parameters and successfully balance adherence to instructions, reasoning capabilities, and multimodal functions for real-world applications. The LFM2.5 lineup includes various models, such as Base (for fine-tuning and personalization), Instruct (tailored for general-purpose instruction), Japanese-optimized, Vision-Language, and Audio-Language editions, all carefully designed for swift on-device inference, even under strict memory constraints. Additionally, these models are offered as open-weight alternatives, enabling easy deployment through platforms like llama.cpp, MLX, vLLM, and ONNX, which enhances flexibility for developers. With these advancements, LFM2.5 not only solidifies its position as a powerful solution for a wide range of AI-driven tasks but also demonstrates Liquid AI's commitment to pushing the boundaries of what is possible with on-device technology. The combination of scalability and versatility ensures that developers can harness the full potential of AI in practical, everyday scenarios.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ant Group

Date Founded

2014

Company Location

China

Company Website

chat.ant-ling.com/chat

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Categories and Features

Categories and Features

Popular Alternatives

No Alternatives

Popular Alternatives

HunyuanOCR Reviews & Ratings

HunyuanOCR

Tencent
MedGemma Reviews & Ratings

MedGemma

Google DeepMind