NeuML/colbert-bert-tiny
sentence-similarity model by NeuML
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Model card & documentation
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This is a ColBERT model finetuned from google/bertuncasedL-2H-128A-2 on the msmarco-bm25 dataset. It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator. This model is primarily designed for unit tests in limited compute environments such…
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Model overview
NeuML/colbert-bert-tiny is a sentence-similarity model repository published by NeuML on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 129,927
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 4,402,560
- Architecture
- HF_ColBERT
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-08-16T14:33:57.000Z
- Last modified
- 2026-08-21T15:38:16.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google/bert_uncased_L-2_H-128_A-2
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-01T06:40:24.499Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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