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[ARTICLE · art-149710] src=precisionnumerics.ai ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Show HN: Boole-1.7B, a 1-bit LLM that outperforms Bonsai-1.7B

Precision Numerics released Boole-1.7B, a 1-bit version of Qwen3-1.7B that retains 85.9% of BF16 performance at 247MB, 13.9x smaller than the full-precision model. The company said Boole-1.7B outperforms 1-bit Bonsai-1.7B and similar-sized LFM models and nearly matches 1.58-bit Bonsai-1.7B, targeting low-latency English tasks in non-thinking mode. Weights are published on Hugging Face and a browser chat demo is available, with Precision Numerics saying it will ship more capable open-source models soon.

read1 min views2 publishedOct 12, 2026

Introducing Boole-1.7B, a 1-bit version of Qwen3-1.7B. Boole-1.7B retains 85.9% of BF16 performance using 247MB (13.9x smaller). It outperforms 1-bit Bonsai-1.7B and similar-sized LFM models, and nearly matches 1.58-bit Bonsai-1.7B.

It’s intended for low-latency tasks using English and non-thinking mode. To learn more,

- Blog: [https://precisionnumerics.ai/blog/boole-1p7b](https://precisionnumerics.ai/blog/boole-1p7b)

- Weights: [https://huggingface.co/precision-numerics/Boole-1.7B](https://huggingface.co/precision-numerics/Boole-1.7B)

- Chat in browser: [https://precisionnumerics.ai/chat/](https://precisionnumerics.ai/chat/)

We're going to ship more capable models soon for the open-source community. Let us know what models/capabilities you want to see next!

Comments URL: [https://news.ycombinator.com/item?id=50058167](https://news.ycombinator.com/item?id=50058167)

Points: 1

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