PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones
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PrismML just released Bonsai 27B. It is a low-bit representation of Qwen3.6-27B, not a new pretrain. The architecture is unchanged. Two variants ship under Apache 2.0. Ternary Bonsai 27B uses {−1, 0, +1} weights at a true 1.71 bits per weight. Its ideal size is 5.9GB. 1-bit Bonsai 27B uses binary {−1, +1} weights at …
1Key Takeaways
- It is a low-bit representation of Qwen3.6-27B, not a new pretrain.
- Ternary Bonsai 27B uses {−1, 0, +1} weights at a true 1.71 bits per weight.
- 1-bit Bonsai 27B uses binary {−1, +1} weights at ….
2AIWedia Score
7.9/10
Solid update — useful context for the AI space
Based on source trust, recency, category impact, and story depth.
3Why it matters
Video AI is reshaping ads, social content, and entertainment with faster generation pipelines. MarkTechPost Video reports that it is a low-bit representation of Qwen3.6-27B, not a new pretrain.
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