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Needle 2: 14MB agentic LLM targets phones, wearables, and robots

Cactus has released Needle 2, a compact 14MB agentic large language model designed for resource-constrained devices like phones, wearables, and microcontrollers. This model achieves impressive speeds, running at 500 tokens/sec on a Raspberry Pi 5 and offering competitive performance against larger models while consuming significantly less power. Needle 2 is optimized for structured tasks such as tool calling and data extraction, with a focus on efficiency for edge AI applications. AI

IMPACT Enables more capable AI assistants and applications on low-power, consumer-grade hardware.

RANK_REASON This is a product release for a specialized LLM targeting edge devices, not a frontier model release from a major lab.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Needle 2: 14MB agentic LLM targets phones, wearables, and robots

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Henrie_the_dreamer ·

    Needle 2: 14MB agentic LLM for phones, wearables, smart home and robots.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vkqy66/needle_2_14mb_agentic_llm_for_phones_wearables/"> <img alt="Needle 2: 14MB agentic LLM for phones, wearables, smart home and robots." src="https://preview.redd.it/j7au03xcykih1.png?width=140&amp;height…