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Use Cases

Fine-tune And Deploy Local Models

Published projects tagged with this use case.

1 project

LazyLLM

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LazyLLM is a Python low-code framework for assembling multi-agent LLM apps from modular pipelines (pipeline, parallel, switch, loop). It bundles RAG, tool-calling agents, one-click deployment, and unified online/local model fine-tuning and inference via vLLM, LightLLM or LMDeploy.

AI Frameworks | Python · multi-agent · llm

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