Needle 2
PulseAugur coverage of Needle 2 — every cluster mentioning Needle 2 across labs, papers, and developer communities, ranked by signal.
- 2026-08-30 product_launch Needle 2, an AI model utilizing a Simple Attention Network, has been released and tested for its tool-calling capabilities. source
- 2026-08-30 product_launch Cactus Compute launched Needle 2, a 14MB on-device tool-calling language model. source
- 2026-08-26 product_launch Needle 2, a compact foundation model for tool calling and structured extraction, has been released as an open-source project. source
- 2026-08-14 product_launch Cactus Compute released Needle 2, a compact 45M-parameter tool-calling model. source
- 2026-08-14 product_launch Cactus Compute released Needle 2, a compact 45M-parameter tool-calling model designed for edge devices. source
- 2026-08-10 product_launch Cactus released Needle 2, a 14MB agentic LLM for phones, wearables, and robots. source
- 2026-08-10 product_launch Cactus released Needle 2, a 14MB agentic LLM for low-power devices. source
- 2026-08-10 product_launch Cactus has launched Needle 2, a 14MB agentic LLM for edge devices. source
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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Needle 2 AI model runs efficiently on Raspberry Pi hardware
A guide and benchmark for running the Needle 2 AI model on Raspberry Pi hardware has been published. The setup demonstrates that local AI inference can be achieved with minimal resources, requiring as little as 42 MB of…
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Cactus Compute releases 14MB Needle 2 model for on-device tool-calling
Cactus Compute has released Needle 2, a compact, on-device language model specifically designed for tool-calling tasks. This 14 MB model, quantized to CQ2-bit, requires a fixed 28 MB of RAM and boasts a Simple Attention…
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Needle 2: Tiny 14MB open-source model runs LLM tasks locally
Needle 2 is an open-source foundation model with 45 million parameters, designed for tool calling and structured data extraction. It is compressed into a single 14MB binary that can run locally on devices with as little…
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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…