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Developed by Salesforce
xLAM-2-3b-fc-r is a large action model with 3B parameters launched by Salesforce, focusing on transforming user intentions into executable actions and performing excellently in multi-round dialogue and tool usage.
Downloads 472
Release Time : 3/28/2025

Model Overview

The xLAM-2 series is a large action model (LAMs) built on an advanced data synthesis and training pipeline, which can serve as the 'brain' of an AI agent to autonomously plan and execute tasks. This model is specifically optimized for multi-round dialogue and tool usage capabilities.

Model Features

High-performance function call
Surpasses cutting-edge models such as GPT-4o and Claude 3.5 in the BFCL and Ï„-bench benchmarks
Optimized multi-round dialogue
Specifically optimized for performance in multi-round dialogue scenarios, maintaining extremely high consistency
Tool usage ability
Can understand and use various tool APIs to automate complex tasks
Easy integration
Optimized chat templates and vLLM integration for easy construction of AI agent systems

Model Capabilities

User intention understanding
Function call
Multi-round dialogue processing
Task planning and execution
Tool API call

Use Cases

Intelligent assistant
Personal information extraction
Extract structured information from user input
For example, extract name and age from 'Jason is 25 years old'
Workflow automation
Multi-step task execution
Complete complex tasks through multi-round dialogue and tool calls
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