Bonsai 27B runs locally on an iPhone - a 27B model in 3.9GB
英文标题:Bonsai 27B runs locally on an iPhone - a 27B model in 3.9GB
PrismML built Bonsai on top of Qwen3.6-27B by quantizing the weights down to 1-bit. That takes it from ~54GB to 3.9GB, small enough to fit and run on a phone, while keeping ~90% of the benchmark scores It's true binary quantization ("binary g128") - every weight is a single sign bit and each
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PrismML built Bonsai on top of Qwen3.6-27B by quantizing the weights down to 1-bit. That takes it from ~54GB to 3.9GB, small enough to fit and run on a phone, while keeping ~90% of the benchmark scores It's true binary quantization ("binary g128") - every weight is a single sign bit and each
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English / 原文
PrismML built Bonsai on top of Qwen3.6-27B by quantizing the weights down to 1-bit. That takes it from ~54GB to 3.9GB, small enough to fit and run on a phone, while keeping ~90% of the benchmark scores It's true binary quantization ("binary g128") - every weight is a single sign bit and each