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

Swift Transformers Reaches 1.0 – and Looks to the Future

Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms

LLM Inference on Edge: A Fun and Easy Guide to run LLMs via React Native on your Phone!

BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal

arXiv:2607. 00501v1 Announce Type: cross Abstract: We present BaseRT, a native Metal inference runtime for large language models (LLMs) on Apple Silicon, and report the highest inference throughput on this hardware to date.

A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026

A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026

Making LLMs lighter with AutoGPTQ and transformers

Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers

Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac

Tricks from OpenAI gpt-oss YOU 🫵 can use with transformers

Mitigating Compiler Fusion-Induced Power Bursts in Mobile NPU Inference as the Battery Depletes

arXiv:2607. 16555v1 Announce Type: cross Abstract: Mobile devices increasingly rely on real-time NPU inference for camera and perception workloads.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing

arXiv:2607. 20723v1 Announce Type: cross Abstract: This work presents LeakyLMs, a set of attacks that leak proprietary model, architecture, and deployment information from production language models.

License to Call: Introducing Transformers Agents 2.0