pretty sharp if you care more about predictable local actions than open ended conversation. the small context window is an obvious tradeoff, but for short commands and structured extraction that seems like the point.
Needle 2
14MB foundation model optimized for tiny devices like phones, wearables, and smart home appliances
11 ratings4.11
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CategoryAI
PlatformWeb
PricingFree
Needle 2 is a lightweight 45M-parameter foundation model designed to run efficiently on resource-constrained devices. It supports tool calling, structured data extraction, and fine-tuning via LoRA. The single 14MB binary runs inference in about 28MB RAM without network calls, providing a self-contained AI engine optimized for embedded scenarios such as phones, wearables, smart home devices, and robots.
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CategoryAI
PlatformsWeb
PricingFree
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ListedMay 2026
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