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Re-evaluating colbert-ai Index Artifacts Between PyTorch Versions with Precision-Based torch.allclose Tolerances

vishalbakshi.github.io · published 14 September 2025

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https://github.com/bitsandbytes-foundation/bitsandbytes/blob/39dd8471c1c0677001d0d20ba2218b14bf18fd00/tests/test_optim.py

github.com

https://huggingface.co/datasets/UKPLab/dapr

huggingface.co

https://github.com/stanford-futuredata/ColBERT/blob/501c29d9e0b7f7b393e36c4177ec2b141a253114/colbert/indexing/collection_indexer.py

github.com

Defeating Nondeterminism in LLM Inference Read at the source ↗

thinkingmachines.ai

https://github.com/stanford-futuredata/ColBERT/blob/501c29d9e0b7f7b393e36c4177ec2b141a253114/colbert/indexing/codecs/residual.py

github.com

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PyTorch .sort Behavior Changes from Version 2.0.1 to 2.1.0 Read at the source ↗

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Batch Size Causes BertModel Forward Pass Divergence Between torch==2.4.1 and torch==2.5.0 for colbert-ai. Read at the source ↗

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Debugging ColBERT Index Differences Between PyTorch 2.7.1 and 2.8.0 Read at the source ↗

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PyTorch Version Impact on ColBERT Index Artifacts: 2.4.1 –> 2.5.0 Read at the source ↗

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PyTorch Version Impact on ColBERT Index Artifacts: 2.7.1 –> 2.8.0 Read at the source ↗

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