vkhosla introduces the 1-bit Bonsai 8B model, with memory usage of only 1.15GB.

MeNews · 2026-04-05T19:24:25+00:00

1-bit Bonsai 8B is a new 1-bit weight model that requires only 1.15 GB of memory. It is 14 times smaller in size on edge hardware compared to full-precision models, 8 times faster, 5 times more energy-efficient, and outperforms Google's recently released models.

MeNews

2026-04-05 19:24:25

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ME News update, on April 1 (UTC+8), recently, the author vkhosla introduced a 1-bit weighted model called 1-bit Bonsai 8B on social media. According to the description, the model’s memory footprint is only 1.15 GB, and its intelligence density is claimed to be more than 10 times that of its full-precision counterpart model. The views in the article point out that on edge hardware, the model is 14 times smaller in size, 8 times faster, and 5 times more energy-efficient, while still remaining competitive compared with other models. The update also mentions that the model has better compressibility, faster speed, smaller size, and higher energy efficiency than the model announced by Google the previous day. The original text does not provide specific performance comparison benchmarks, the publisher, technical implementation details, or complete evaluation results. (Source: InFoQ)

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