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How to chat with the published EBFM SFT model in a browser with Open EBFM

Serve the EBFM-FineWeb-1B-CHAT model through a local web chat interface.

  • Research
  • Intermediate
  • 1 hour
  • From the README
  • Any agent

Who it is forA researcher or hobbyist with a GPU server who wants to try a published energy-based language model interactively.

The problemTrying a new language model usually means writing inference code, and it is not obvious how to serve it to a browser.

The outcomeA running web chat at port 8000 that talks to the published SFT checkpoint.

What you need first

  • Python with uv installed
  • A GPU environment (the README installs the gpu extra and loads checkpoints with device="cuda")
  • Network access for data preparation and Hugging Face downloads
  • Enough disk space for the datasets and checkpoints (sizes are not stated in the README)

Steps

  1. Run uv sync --extra gpu --extra hf --extra web and source .venv/bin/activate to set up the environment.
  2. Run bash runs/chat.sh --web --checkpoint guan-wang/EBFM-FineWeb-1B-CHAT --host 0.0.0.0 --port 8000 to start the server. (inferred, check the README)
  3. Open http://localhost:8000 in a browser on the server machine.
  4. If the server is a remote GPU node, use your cluster's port forwarding to expose port 8000 on your local machine.

Prompt for your agent

In the datamllab/OpenEBFM repo, start the web chat with runs/chat.sh using guan-wang/EBFM-FineWeb-1B-CHAT on host 0.0.0.0 and port <port>. Report the URL to open and confirm the server responds on that port.

Caveat. The README says the chat runs on a GPU and the published checkpoint is downloaded on first use, so the first launch depends on network speed and GPU availability.

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