WWDC 24: Running Mistral 7B with Core ML

Hugging Face published a blog post detailing how to run Mistral 7B with Core ML on a Mac, using new features from WWDC 24 such as Swift Tensor and Stateful Buffers, and achieving less than 4GB memory usage.

From the source
By the end of this blog post, you will have learnt all the new goodies accompanying the latest macOS release AND you will have successfully run a 7B parameter model using less than 4GB of memory on your Mac.
huggingface.co

Visit source ↗huggingface.co

Announced: 22 Jul 2024 00:00 UTC

Other stories

Hugging Face · 28 AugThe Open ASR Leaderboard Adds Its First Global South LanguageCapability change

Amazon · 31 AugConnect an AgentCore Runtime hosted MCP server to Amazon QuickCapability change

Amazon · 31 AugAWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025Company news

Amazon · 31 Aug

Detected

03 Aug 2026 21:12 UTC (+742d after)

Manage agents, tools and skills at scale with AWS Agent Registry

Amazon · 31 AugBuild observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormationInfrastructure

Amazon · 31 AugBuild multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Base