Expired50% confidenceFactExact time
Bonsai 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 capabilities
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
Valid until: 10/18/2026(expired)
Sources
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 quality72% similarUnverifiedBonsai is based on Qwen 3's full-size 27B model71% similarUnverifiedBonsai 27B is the first 27B-class large model capable of running on a smartphone; through quantization technology, the 54 GB model is compressed to 3.8 GB—a size reduction of approximately 93%—while retaining approximately 90% of its intelligence level, and it can run locally on an iPhone 17 Pro.67% similarUnverifiedUnder hardware conditions of 16 GB of memory, only models within 5 GB can be accommodated, so the developer used the Qwen 2.5 7B 4-bit quantized model, which is approximately 4.8 GB in size, with an 8K context window.63% similarUnverifiedClaude Haiku 4.5拥有20万token的上下文窗口和6.4万token的最大输出长度62% similar
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