CodeGuide teases Mac-1, a local 6.6B model built for macOS tools

Zafir says Mac-1 runs on Macs with 8GB-plus RAM and can chain tasks across 487 native macOS tools at about 65 tokens per second.

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Primary source: X

Why it matters

Mac-1 reflects a broader shift from cloud chatbots toward local desktop agents, where latency, privacy, and OS-level tool access matter as much as model size.

Illustration of CodeGuide's Mac-1 model chaining and processing tasks across native macOS tools.

CJ Zafir (@cjzafir) teased Mac-1, a 6.6B-parameter model that he says runs locally on Macs and is built to operate native macOS tools, in a seven-post thread on X on Saturday.

https://x.com/cjzafir/status/2063305526285578573

Zafir claims Mac-1 requires 7GB of RAM, runs best with 12GB, and produces roughly 65 tokens per second with reasoning turned on. In a reply, he clarified that the target is Macs with 8GB or more of RAM, narrowing the "any Mac" claim in the original post.…

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