Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

ANEMLL Forge 0.2.1

AI overview

Sign in and the AI will write an overview from our coverage.

Headlines · 1

  1. Forge 0.2.1 Adds 192K-Context Qwen3.8-27B Support on M6

    According to the developer’s report, ANEMLL Forge 0.2.1 can run Qwen3.8-27B on the Neural Engine of a 32GB M6 Mac mini with context windows up to 192K tokens. The release adds an INT8 K/V cache and a smaller drafter that shares the target model’s output head, reportedly saving 0.86GB of ANE memory without reducing speed. The developer reports content-dependent decode rates of 10–62 tokens per second, a 96K configuration using about 21.4GB, and an initial full 192K compilation time of roughly two hours.

    r/LocalLLaMA · 🔥 0

Experience and discussion from the community

Share my ANEMLL Forge 0.2.1 experienceAsk about ANEMLL Forge 0.2.1

Nobody has shared their experience with ANEMLL Forge 0.2.1 yet.