What Happened
Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple's open source MLX framework for machine learning.
Why It Matters
Additionally, Ollama says it has improved caching performance and now supports Nvidia's NVFP4 format for model compression, making for much more efficient memory usage in certain models.
Key Details
- Combined, these developments promise significantly improved performance on Macs with Apple Silicon chips (M1 or later)—and the timing couldn't be better, as local models are starting to gain steam in ways they haven't before outside researcher and hobbyist communities.
- The recent runaway success of OpenClaw—which raced its way to over 300,000 stars on GitHub, made headlines with experiments like Moltbook and became an obsession in China in particular—has many people experimenting with running models on their machines.Read full article Comments
Background Context
Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple's open source MLX framework for machine learning. Additionally, Ollama says it has improved caching performance and now supports Nvidia's NVFP4 format for model compression, making for much more efficient memory usage in certain models. Combined, these developments promise significantly improved performance on Macs with Apple Silicon chips (M1 or later)—and the timing couldn't be better, as local models are starting to gain steam in ways they haven't before outside researcher and hobbyist communities. The recent runaway success of OpenClaw—which raced its way to over 300,000 sta
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Source: Ars Technica – All content – Original Link
Source: Ars Technica – All content
