Expired80% confidenceFactTime unknown
Ternary Bonsai is a family of 1.58-bit language models where each weight has only three values (1, 0, or -1), making them approximately 9 times smaller than standard 16-bit models; the 8B model requires only 1.7 GB of memory and can exceed 100 tokens per second.
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 8/29/2026(expired)
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Related Claims
UnverifiedThe Bonsai ternary version is approximately 6GB at 1.71 bits and retains approximately 97% of the base model's quality; the 1-bit version is 3.9GB and retains approximately 90% of quality70% similarUnverifiedAfter INT4 quantization, the Qwen3-0.6B model file is only about 400 MB, retains approximately 95% of baseline capability, and an ordinary laptop CPU can achieve a generation speed of 10–30 tokens per second.60% similarUnverifiedBonsai is equipped with a 4-bit vision tower (approximately 0.5GB), supports a context window of approximately 262,000 tokens, and retains full multimodal agent capabilities59% similarVerifiedAt a baud rate of 9600, UART can transmit approximately 960 bytes per second (each byte requires 10 bits: 1 start bit + 8 data bits + 1 stop bit).59% similarUnverifiedBonsai compresses a 27B model from 54GB at full precision down to 3.9GB58% similar
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