Deploying multiple local Ai agents using local LLMs like Llama2 and Mistral-7b.
“Never Send A Human To Do A Machine’s Job” — Agent Smith Are you searching for a way to build a whole army of organized ai agents with Autogen using local LLMs instead of the paid OpenAi? Then you came to the right place! Chat LLMs are cool, but giving taking action as an intelligent agent is next level. What about many of them? Meet Microsoft’s latest project. Autogen But there is a problem.
bat --extensions openai --listen --loader llama.cpp --model mistral-7b-instruct Linux: ./start_linux.sh --extensions openai --listen --loader llama.cpp --model mistral-7b-instruct MacOS: ./start_macos.sh --extensions openai --listen --loader llama.cpp --model mistral-7b-instruct We pass the parameter to load the extension, to start a server we can query from autogen, and wich specify the loader for the model and the model folder name we created earlier, with the config.json and the model.
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