
Meta and Apple team up to make Muse AI models run better on Macs
Meta released Muse Spark Open, an 816B open-weight model tuned with Apple to run on Mac Studios.
8 stories, newest first · one card per story

Meta released Muse Spark Open, an 816B open-weight model tuned with Apple to run on Mac Studios.

Meta released Muse Spark Open, an 816B multimodal open-weight model with 42B active parameters and a 1M-token context.

Apple’s Minions paper turns idle Apple Silicon Mac GPUs into a distributed cloud for ML inference.

A MacStories review finds the M5 Ultra Mac Studio with 256GB RAM excellent for running local AI agents and models via MLX at near-cloud responsiveness.
Prism ML released Ternary-Bonsai-2-27B, a 27B ternary-weight model derived from Qwen3.8-27B that runs full reasoning in ~5.95 GB GGUF.
A community MLX inference engine evaluates constrained JSON schema fields in parallel on Apple Silicon, reporting 5.6-7.0x latency speedups with guaranteed schema validity.
JustFit MLX runtime serves 200K-token contexts for Qwen3.8-27B on a 24 GiB MacBook via just-in-time state management.
Edge0 released a 35B sparse MoE model running in under 3 GiB of memory at 15 tok/s via SSD expert offload and int4 quantization.
Today 1.6K readers · 2.4K views · 774 reads · all time 189K views