A newer version of the Gradio SDK is available: 6.22.0
metadata
title: PackedLLM
emoji: 🧠
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 6.19.0
python_version: '3.11'
app_file: app.py
pinned: false
license: other
short_description: Official demo for the PackedLLM RoE system
PackedLLM Demo
A Hugging Face Space demo for PackedLLM, a custom Routing-of-Experts system with persistent memory, web search, sandboxed Python execution, persona layers, and direct expert access.
This Space is intended to showcase the loaded checkpoint through a Gradio interface with multiple tabs:
- Chat — interact with the full PackedLLM pipeline
- Experts — call individual specialists directly
- Memory — store and recall memory, edit profiles
- Web — run embedded web search
- CodeBox — execute code in the sandbox
- System — warmup, status, expert reload/unload, checkpoint save
What this demo loads
The app expects a custom checkpoint file named:
PackedLLM.pt
The checkpoint is loaded through the custom PackedLLMRunner wrapper, not through a standard Transformers AutoModel workflow.
Notes
- The demo includes potentially powerful capabilities such as web search and code execution.
- The implementation exposes system controls for warmup, expert reload/unload, memory operations, and checkpoint saving.
- This repository uses a custom checkpoint format and custom runtime code.
Intended use
This Space is meant for interactive testing, demos, and showcasing the current PackedLLM architecture.