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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 smartphones, wearables, and microcontrollers, requiring as little as 28MB of RAM. Needle 2 demonstrates competitive performance in tool-calling and structured extraction tasks, rivaling larger models while consuming significantly less power and memory. The model is open-source under the Apache 2.0 license, with weights available on Hugging Face and a dependency-free C++ engine for easy deployment. AI

IMPACT Enables advanced AI capabilities on resource-constrained devices, potentially expanding the reach of AI into IoT and wearables.

RANK_REASON Release of a specialized, small-footprint LLM for edge devices.

Read on Hacker News — AI stories ≥50 points →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Needle 2: 14MB agentic LLM targets on-device AI for low-power hardware · 4 sources tracked

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Release of a specialized, small-footprint LLM for edge devices.
Source corroboration
4 independent sources
Strong cross-source corroboration — multiple independent publishers covered this within the clustering window.
Topics
model release, product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
46 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [4]

  1. Hacker News — AI stories ≥50 points TIER_1 English(EN) · HenryNdubuaku ·

    Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Cactus Needle 2 LLM for Tiny Devices: an 14MB Agentic LLM for phones, wearables, smart home and robots ; the whole model is a single 14MB binary that runs in 28

    Cactus Needle 2 LLM for Tiny Devices: an 14MB Agentic LLM for phones, wearables, smart home and robots ; the whole model is a single 14MB binary that runs in 28MB of RAM # LLM # AI https:// cactuscompute.com/needle

  3. 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…

  4. Mastodon — mastodon.social TIER_1 English(EN) · h4ckernews ·

    Needle2: 14MB agentic LLM for phones, wearables, smart home and robots https:// cactuscompute.com/needle Comments: https:// news.ycombinator.com/item?id=4 92468

    Needle2: 14MB agentic LLM for phones, wearables, smart home and robots https:// cactuscompute.com/needle Comments: https:// news.ycombinator.com/item?id=4 9246804 # HackerNews # Needle2 # LLM # mobile # AI # agent # technology # smart # devices # robotics