PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones
PrismML has released Bonsai 27B, a low-bit representation of Qwen3.6-27B, suitable for laptops and phones.
- PrismML has released Bonsai 27B, a low-bit representation of Qwen3.6-27B.
- Bonsai 27B can run on laptops and phones, making it a more accessible option.
- The architecture of Bonsai 27B remains unchanged, with two variants available under Apache 2.0.
PrismML has released Bonsai 27B, a low-bit representation of Qwen3.6-27B, a popular AI model. This new release is designed to be more efficient and can run on laptops and phones, making it a more accessible option for developers and researchers. The architecture of Bonsai 27B remains unchanged, with two variants available under Apache 2.0. The ternary build uses {−1, 0, +1} weights, achieving a true 1.71 bits per weight, while the 1-bit build uses binary {−1, +1} weights. This release aims to provide a more efficient and portable AI solution for various applications.
Bonsai 27B provides a more efficient and portable AI solution for various applications.
This release can help businesses develop more efficient AI-powered products and services.
The release of Bonsai 27B demonstrates PrismML's commitment to innovation and efficiency.
Bonsai 27B offers a more accessible and efficient AI solution for various applications.
- Qwen3.6-27B
- A popular AI model used as the basis for PrismML's Bonsai 27B release.
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