Key Steps
AgentVerse provides a complete local model support solution: 1. Installation of specialized dependencies (pip install -r requirements_local.txt); 2. Start the FSChat server (run thescripts/run_local_model_server.sh); 3. Specify explicitly in the configuration file (setting thellm_type: localcap (a poem)model: llama-2-7b-chat-hf); 4. For GPU video memory issues, enable the vLLM service (requires configuration of theVLLM_API_BASE(environment variables). The method has been validated with models such as Vicuna and supports 7B/13B parameter versions.
This answer comes from the articleAgentVerse: An Open Source Framework for Deploying Multi-Intelligence Collaboration and SimulationThe
May not be reproduced without permission:AI productivity tools " How to eliminate compatibility issues when running LLaMA models locally?
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