Stanford Future Data Systems

weights

open(ungated MIT safetensors and ONNX on colbert-ir/colbertv2.0)

data

open(MS MARCO passage-ranking triples plus the released 64-way distillation examples at colbert-ir/colbertv2.0_msmarco_64way)

code

open(the repository ships the ColBERTv2-style Trainer, the indexer and the evaluation utilities, not just inference)

license

MIT(OSI)

Everything the ladder asks for is present: MIT weights on the Hub, a training corpus that is a public benchmark plus a published distillation file, and a repository whose training entry point is documented in the README rather than left as inference-only glue.

• https://huggingface.co/colbert-ir/colbertv2.0/raw/main/README.md recorded 2026-09-11

  `license: mit` in the card front matter; card describes late interaction and links the ColBERTv2 paper.

• https://raw.githubusercontent.com/stanford-futuredata/ColBERT/main/README.md recorded 2026-09-11

  'This checkpoint has been trained on the MS MARCO Passage Ranking task'; a Data section naming triples.train.small.tar.gz, collection.tar.gz and qrels; and 'Basic Training (ColBERTv1-style)' plus 'Advanced Training (ColBERTv2-style)' sections that call `colbert.Trainer` with the published 64-way examples.json from colbert-ir/colbertv2.0_msmarco_64way.

• https://raw.githubusercontent.com/stanford-futuredata/ColBERT/main/LICENSE recorded 2026-09-11

  'MIT License / Copyright (c) 2019, 2020 Stanford Future Data Systems'.