Salesforce's Llama-xLAM-2-70b-fc-r is a 70 billion parameter Large Action Model (LAM) designed for multi-turn conversation and advanced tool usage, built on the xLAM-2 series. It leverages the novel APIGen-MT framework for high-quality training data, achieving state-of-the-art performance on BFCL and \u03c4-bench benchmarks. This model excels at translating user intentions into executable actions, making it suitable for automating complex workflows and powering AI agents.
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Salesforce Llama-xLAM-2-70b-fc-r: Advanced Large Action Model
Salesforce's Llama-xLAM-2-70b-fc-r is a 70 billion parameter model from the xLAM-2 series, specifically designed as a Large Action Model (LAM). LAMs function as the "brains of AI agents," autonomously planning and executing tasks by translating user intentions into actionable steps. This model is a research release, focusing on enhancing decision-making and automating workflows.
Key Capabilities & Differentiators
- Multi-turn Conversation & Tool Usage: The xLAM-2 series represents a significant advancement in handling complex multi-turn dialogues and integrating tool use, trained with the novel APIGen-MT framework.
- State-of-the-Art Performance: It achieves top-tier results on the BFCL (function-calling) and \u03c4-bench (agentic capabilities) benchmarks, outperforming models like GPT-4o and Claude 3.5 in certain metrics.
- High Consistency: Even smaller models in the series demonstrate superior capabilities in multi-turn scenarios while maintaining exceptional consistency across trials.
- Optimized for Function Calling: The
-fcsuffix indicates fine-tuning for function-calling tasks, enabling the model to effectively interact with external tools and APIs. - Extended Context Length: Supports a context length of 128k tokens, facilitating more complex and longer interactions.
- Seamless Integration: Refined chat templates and vLLM integration simplify the deployment and use of this model for building advanced AI agents.
Ideal Use Cases
- AI Agent Development: Powering autonomous AI agents that can plan and execute tasks based on user intentions.
- Automated Workflows: Automating complex business processes and decision-making across diverse domains.
- Advanced Function Calling: Applications requiring precise and consistent interaction with external tools and APIs.
- Research in Agentic AI: Exploring and developing new paradigms for agent-human interaction and autonomous systems.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.