David6995/Llama-3.2-3B-expert-Agent

TEXT GENERATIONPricing:Input $0.2036 / Output $1.34Concurrent Unit Cost:1Model Size:3.2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 28, 2026License:llama3.2Architecture:Transformer Featherless Exclusive Cold

David6995/Llama-3.2-3B-expert-Agent is a 3.2 billion parameter language model built with Llama architecture, featuring a 32768-token context length. This model is specifically designed and optimized for tool use, making it highly effective for applications requiring interaction with external tools and APIs. Its primary use case is as an expert agent for tasks that benefit from robust tool integration.

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Llama-3.2-3B-expert-Agent Overview

This model, developed by David6995, is a 3.2 billion parameter language model based on the Llama architecture. It is specifically engineered as a tool use expert, distinguishing it from general-purpose LLMs. With a substantial context length of 32768 tokens, it is well-suited for complex tasks requiring extensive input and output processing.

Key Capabilities

  • Specialized Tool Use: Designed from the ground up to excel in scenarios where interaction with external tools, APIs, or functions is critical.
  • Agentic Behavior: Optimized for acting as an intelligent agent, interpreting instructions, and executing actions through integrated tools.
  • Llama Architecture: Leverages the robust and efficient Llama foundation, providing a strong base for its specialized capabilities.

Good for

  • Automated Workflows: Ideal for building systems that automate tasks by orchestrating various tools and services.
  • Intelligent Agents: Developing AI agents that can understand and respond to complex commands by utilizing external functionalities.
  • API Integration: Use cases requiring seamless and effective integration with diverse APIs and software tools.

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