glam-extract-bench

Add a model to the GLAM extraction benchmark and run it, then refresh the leaderboard. Handles three model shapes — schema-native extractor Spaces (NuExtract), general VLMs via the HF Inference Providers router, and any OpenAI-compatible endpoint (including a model you served on Jobs). Use when adding or scoring a new model on this benchmark.

Serve any Hugging Face Hub model as a temporary OpenAI-compatible endpoint using HF Jobs + vLLM, so you can evaluate/benchmark it, iterate prompts, or hit it from an agent — without a permanent deployment. Use when a model is NOT on Inference Providers (e.g. a research model like datalab-to/lift) and you just need an endpoint for an afternoon. Always cancel the job when done so billing stops.