Simple Attention Network
PulseAugur coverage of Simple Attention Network — every cluster mentioning Simple Attention Network across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Needle 2 AI model uses Simple Attention Network for efficient tool calling
Needle 2 is a novel AI model that diverges from traditional LLM architectures, utilizing a Simple Attention Network (SAN) with only 45 million parameters. It is optimized for tool calling, device integration, and handli…
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Cactus Compute releases Needle 2, a 14MB tool-calling AI model for edge devices
Cactus Compute has launched Needle 2, a compact 45-million-parameter model designed for tool-calling and structured data extraction. This model is notable for its extremely small footprint, shipping as a 14MB binary and…
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Needle 2: 14MB agentic LLM targets on-device AI for low-power hardware · 4 sources tracked
Cactus has released Needle 2, a compact 14MB agentic LLM designed for on-device AI applications. This model, featuring 45 million parameters compressed to 2-bit precision, operates efficiently on low-power hardware like…
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Cactus Compute releases tiny 45M-param Needle 2 model for devices
Cactus Compute has released Needle 2, a compact 45-million-parameter open-source model designed for tool calling, device integration, and structured data extraction. This model is notable for its small size, requiring o…
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Cactus Hybrid Router routes tasks to cloud or local models
Cactus Hybrid Router is a new 65,000-parameter model designed to optimize AI inference by intelligently routing tasks. It can match the performance of Gemini-3.1-Flash-Lite by sending 15-55% of tasks to cloud-based mode…