Alpaca-LoRA-Serve

This project describes serving an LLM as a chatbot service through a multi-agent framework.

github.com/deep-diver/LLM-As-Chatbot
Alpaca-LoRA-Serve homepage screenshot

About Alpaca-LoRA-Serve

This is an open-source Python repository for serving open-source instruction-following LLMs as a chatbot service. It includes a Gradio-based chat UI and support for serving models as a Discord bot, with a Ping Pong library to manage conversation and context across models that use different prompt formats.

Internet search is optional and requires a Serper API key. Running the code requires Python 3.9 or newer, installation of dependencies, and access to model weights, with an option to use only locally cached files.

Key features

  • Serve open-source instruction-tuned LLMs as chatbot service
  • Gradio chat UI built entirely in Gradio
  • Discord bot mode for models from model zoo
  • Optional internet search via Serper API key
  • Model-agnostic conversation handling via Ping Pong library
  • Run with local cached weights using --local-files-only flag
Best for: Developers with Python experience who want to self-host open-source LLMs with Gradio or Discord interfaces.
Good for
  • Open-source code for self-hosting LLMs as chatbots
  • Includes both Gradio UI and Discord bot options
  • Handles different prompt formats across models
Watch out for
  • Requires Python 3.9 or newer and Gradio 3.32.0 or newer
  • Internet search needs a separate Serper API key
  • Requires manual installation and model weight management

Alpaca-LoRA-Serve at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Alpaca-LoRA-Serve FAQ

How do I enable internet search?
Enable internet mode in the Gradio control panel or use the --internet option in Discord, with a Serper API key from serper.dev.
What is required to run the Gradio app?
Python 3.9 or newer, Gradio 3.32.0 or newer, and dependencies installed from requirements.txt.
Can it run without downloading from Hugging Face Hub?
Yes, use the --local-files-only flag to use only already downloaded and cached files.
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