# distilbert/distilbert-base-uncased

This model is a distilled version of the BERT base model, and it is smaller and faster than BERT. It is intended for downstream tasks such as sequence classification, token classification, and question answering, and it can also be used for masked language modeling or next sentence prediction.

## Cite this

- Page: https://huggingbay.xyz/artifact/hf-model-distilbert-distilbert-base-uncased
- Citation: distilbert/distilbert-base-uncased. The Hugging Bay model record. https://huggingbay.xyz/artifact/hf-model-distilbert-distilbert-base-uncased (retrieved 2026-11-13).
- Check a downloaded file: run `shasum -a 256 <file>` (macOS), `sha256sum <file>` (Linux) or `Get-FileHash -Algorithm SHA256 <file>` (Windows), then compare with that file's SHA-256 at https://huggingbay.xyz/api/artifacts/hf-model-distilbert-distilbert-base-uncased/files?limit=100. How checks work: https://huggingbay.xyz/verification

## Facts

- Type: LLM
- Task: fill-mask
- Framework: transformers
- License: apache-2.0: Permissive open license: commercial use, modification, and redistribution are permitted. (https://huggingface.co/distilbert/distilbert-base-uncased/blob/main/LICENSE)
- Source: https://huggingface.co/distilbert/distilbert-base-uncased
- Hosting: hosted (11 files)
- Files: 11 hosted of 12 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 11 hosted of 12 listed
- Full repo upstream: 1.53 GB
- Recommended file: 268 MB · model.safetensors
- Download: https://huggingbay.xyz/api/artifacts/hf-model-distilbert-distilbert-base-uncased/download-plan (download plan: https://huggingbay.xyz/api/artifacts/hf-model-distilbert-distilbert-base-uncased/download-plan)
- Per-file SHA-256: available for 11 of 11 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-distilbert-distilbert-base-uncased/files?limit=100
- Availability: Ready
- Downloadable: yes
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 8842288
- Stars: 1472
- Card completeness: 92%

## Description

This model is a distilled version of the BERT base model, and it is smaller and faster than BERT. It is intended for downstream tasks such as sequence classification, token classification, and question answering, and it can also be used for masked language modeling or next sentence prediction.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: fill-mask
- Library: transformers
- Task categories: fill-mask
- Languages: en
- Referenced datasets: bookcorpus, wikipedia
- Paper ids: 1910.01108
- File hints: 12 upstream file samples

## Referenced Data

- Dataset: bookcorpus
- Dataset: wikipedia
- Paper: 1910.01108

## File Hints

- .gitattributes
- LICENSE
- README.md
- config.json
- flax_model.msgpack
- model.safetensors
- pytorch_model.bin
- rust_model.ot
- tf_model.h5
- tokenizer.json
- tokenizer_config.json
- vocab.txt

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-08-28T00:13:14.873Z.
- Open license detected as apache-2.0.
- Model card references dataset context: bookcorpus, wikipedia.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-distilbert-distilbert-base-uncased
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- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-distilbert-distilbert-base-uncased/distribution
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-distilbert-distilbert-base-uncased/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-distilbert-distilbert-base-uncased&limit=100
- Request mirror: not applicable.
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