Needle 2
Needle 2 is an open 45M-parameter model for tool calling, device use and structured extraction. The whole model is a single 14MB binary that runs a full session in about 28MB of RAM. It is built on our Simple Attention Network findings, compressed to CQ2-bit with Cactus Quants, and baked into its own engine. On the benchmarks below, Needle 2 trades wins with other small models like FunctionGemma 270M, LFM2.5 230M and Apple FM, at 5x to 70x smaller, and 2 bits against their f16.
This repository is the Python package: inference, LoRA fine-tuning, and export.
pip install cactus-needle
, describe your tools, and call them from Python. The inference engine is fetched once from Hugging Face and cached; there is nothing else to build.
Self-contained
: weights baked into a single 14MB eng (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/cactus-compute/needle)获取最准确的信息。

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🔗 **原文链接**: [cactus-compute/needle (⭐ 248 stars today)](https://github.com/cactus-compute/needle)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

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> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-08-12 22:02