Apple Foundation ModelsApple
|
LFM2Liquid AI
|
|||||
Related Products
|
||||||
About
The Apple Foundation Models framework lets developers perform tasks with Apple’s on-device model that specializes in language understanding, structured output, and tool calling. It provides access to the on-device large language model that powers Apple Intelligence, helping apps perform intelligent tasks specific to their use case. The text-based on-device model identifies patterns that allow it to generate new text appropriate for the request, and it can make decisions to call code written by the developer to perform specialized tasks. Developers can generate text content for a wide range of tasks, including summarization, entity extraction, text understanding, refinement, dialog for games, creative content generation, classification, and more. It also supports guided generation, allowing developers to generate entire Swift data structures with strong guarantees by using the Generable macro.
|
About
LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations.
|
|||||
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
Apple app developers who need to add private, on-device generative AI features with structured output and tool calling
|
Audience
Developers and engineering teams needing a solution offering foundation models without reliance on cloud infrastructure
|
|||||
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
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationApple
Founded: 1976
United States
developer.apple.com/documentation/FoundationModels
|
Company InformationLiquid AI
Founded: 2023
United States
www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
|
|
|