Unverified50% confidenceFactExact time
Bonsai uses 1-bit quantization, representing each weight with just one bit, making the entire model file only slightly over 1GB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/5/2026
First Seen
Valid until: 1/3/2027
Sources
Related Entities
Related Claims
UnverifiedBonsai uses ternary quantization, compressing each weight to one of three values—-1, 0, or +1—with a shared scaling factor per 128 weights, requiring approximately 1.7 bits per weight, roughly 9 times smaller than 16-bit full precision.77% similarUnverified1-bit Bonsai的智能密度得分为0.53/GB，是全精度模型的10倍以上，是最优低比特方案的约2.7倍77% similarUnverifiedThe model file for Ternary Bonsai 2 is less than 6GB.74% similarUnverified1-bit LLM 的核心思路是将模型权重压缩到每个参数仅约1比特的水平70% similarUnverifiedBonsai 2 is a ternary-quantized large model released by Prism ML, retrained from scratch on a Qwen3-27B base, with an overall file size of approximately 6 GB.70% similar
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