Tag

#on-device-llm

Every item tagged on-device-llm, newest first.

2 items

WWDC 24: Running Mistral 7B with Core ML

Apple announced Mistral 7B support for Core ML at WWDC 24, enabling on-device deployment of the 7B parameter model. This allows developers to integrate Mistral 7B into iOS and macOS apps with optimized performance and reduced latency. You can deploy Mistral 7B on Apple devices using Core ML tools and APIs. The integration aims to improve app responsiveness and user experience.

Key takeaways

Mistral 7B now supported on Apple Core ML.
Enables on-device deployment for iOS and macOS apps.
Optimized performance and reduced latency.

HHugging Face Blog#on-device-llm #core-ml #apple

modelsAug 8

Releasing Swift Transformers: Run On-Device LLMs in Apple Devices

Hugging Face released Swift Transformers, a library for running on-device LLMs on Apple devices using Core ML. This enables developers to deploy LLMs locally on iOS, iPadOS, and macOS without relying on cloud services. The library supports various models, including open-weights options. You can integrate these models into your apps for faster, more private inference.

Key takeaways

Run LLMs on-device on Apple devices with Swift Transformers.
Supports deployment on iOS, iPadOS, and macOS.
Enables faster, more private inference without cloud reliance.

HHugging Face Blog#on-device-llm #apple-integration #open-source #swift