VQV Signal
The WARP engine now supports GLM-5.3-Flash, a model similar to Kimi K3, running on macOS with as little as 5.14 GB RAM. On a 64 GB MacBook Pro M5 Pro, it achieves speeds of about 3.32 tokens per second, increasing to 3.86 on longer runs.
The WARP engine now supports GLM-5.3-Flash, a model similar to Kimi K3, running on macOS with as little as 5.14 GB RAM. On a 64 GB MacBook Pro M5 Pro, it achieves speeds of about 3.32 tokens per second, increasing to 3.86 on longer runs.
AI-assisted summary based on the listed source.
A few months ago, I created the WARP engine (formerly WASTE) to run Kimi K3, the complete 2.78-trillion-parameter model, on macOS. GLM-5.3-Flash shares many architectural similarities with Kimi K3, so I added support for it as well. It requires as little as 5.14 GB of RAM to run, and on a 64 GB MacBook Pro M5 Pro...
This demonstrates efficient deployment of large AI models on consumer hardware, enabling advanced AI capabilities without requiring extensive resources. It highlights progress in optimizing AI model performance on macOS devices.
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