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Squish: Local LLM Inference Server Optimized for Apple Silicon
Squish is a local large language model inference server designed to run efficiently on Apple Silicon devices. It aims to provide fast and private LLM inference without relying on cloud services.
Running LLMs locally on Apple Silicon can improve performance and data privacy by eliminating the need for cloud-based inference. Squish addresses the demand for efficient, on-device AI processing in the Apple ecosystem.
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Score 75
Source Type hackernews
Reposts 0
Topic Quality 57
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