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Needle 3

LLMsAI Models & LLMsOpen source · Web

Needle 3 is a compact foundation model designed for mobile and embedded devices. It excels in tool calls, structured extraction, and text embedding, providing efficient on-device AI capabilities.

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Needle 3 screenshot
Needle 3 screenshot

Needle 3 is a foundation model developed by Cactus Compute, optimized for mobile devices, wearables, robots, smart home systems, automotive applications, and microcontrollers. The model is compact, with a file size ranging from 8 to 29 MB, allowing it to outperform larger models in specific tasks on mobile platforms. Needle 3 focuses on three primary functions: tool calls, structured extraction, and text embedding.

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Tool calls enable the model to select the appropriate functions from an app and fill in arguments based on user input. This ensures precise execution of tasks without guessing, providing an empty list when no suitable tool is available. Structured extraction allows users to define a shape and receive typed fields from unstructured text, such as invoices or notifications, with guaranteed parsing accuracy.

Text embedding generates vectors for sentences, facilitating local search, matching, and routing within applications. Additionally, Needle 3 supports speech-to-text capabilities through integration with the Whistle model, enabling transcription and tool interaction in multiple languages.

The model architecture, known as Laddered Simple Attention Network, incorporates advanced techniques like Monarch Hadamard MLP, GQA attention, and engram n-gram memory, ensuring efficient performance across various depths. Needle 3 is customizable, allowing fine-tuning for specific applications, and supports deployment across multiple platforms, including Python, C API, and browser environments.

Cactus Compute provides comprehensive guides for designing tools, leveraging confidence scores, and fine-tuning the model. Users can access the model and its components via GitHub and the Cactus Compute website, ensuring easy integration and deployment.

  • CategoryAI Models & LLMs
  • Pricing ModelOpen source
  • DeploymentCloud, Self-hosted
  • PlatformsWeb

  • Tool Calls

  • Structured Extraction

  • Text Embedding

  • Speech-to-Text Integration

  • Laddered Simple Attention Network

  • Customizable Fine-Tuning

  • Multi-Platform Deployment

  • Compact Model Size

  1. Access model page: Visit the Needle 3 page on Hugging Face.

  2. Authenticate: Ensure you have access to the model repository.

  3. Configure: Set up the model parameters and environment.

  4. Send prompts: Use the model for tool calls and extraction.

  5. Fine-tune: Customize the model for specific applications.

  • Mobile Tool Calls
  • Text Extraction
  • Local Search
  • Speech Transcription
  • Embedded AI

From Cactus Compute

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