---
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:

```text
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.