cd /news/artificial-intelligence/answerdotai-modernbert-base · home topics artificial-intelligence article
[ARTICLE · art-55164] src=huggingbay.xyz ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

answerdotai/ModernBERT-base

Answerdotai released ModernBERT-base, a 1.2 GB encoder model under Apache-2.0 license, designed for fill-mask tasks with easy local fit on consumer hardware. The model is available via Hugging Bay with external metadata and pending security scan, requiring user verification before production use.

read2 min views1 publishedJul 7, 2026
answerdotai/ModernBERT-base
Image: Huggingbay (auto-discovered)

answerdotai/ModernBERT-base: ModernBERT-base encoder model with Apache-2.0 licensing and strong practical NLP utility. License: apache-2.0. external huggingface metadata. Scan: pending.

  • License

  • apache-2.0

  • Size

  • 1.2 GB

  • Demand

  • 500 upstream downloads

  • Trust

  • Needs review 0/100

  • Trusted download

  • External metadata; mirror requestable

  • Run fit

  • Easy local fit: CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests

  • Files

  • 0 hosted / 1 total

  • Scan status

  • pending

  • Hosting status

  • external

  • Upstream

  • answerdotai/ModernBERT-base

  • Declared license

  • apache-2.0

  • Pipeline

  • fill-mask

  • Library

  • Transformers

  • Task categories

  • fill-mask

About this artifact #

answerdotai/ModernBERT-base is included in Hugging Bay's compact resilience fallback for high-demand open AI artifacts. Live Postgres metadata, hosted files, hashes, and reviews take precedence whenever available.

Trusted download #

External metadata; mirror requestable. Use upstream for now or add demand for a reviewed Hugging Bay mirror.

  • Hosted files
  • 0 of 1
  • Reviewed peer-assisted fallbacks
  • 0
  • Download plan
[Download-plan JSON](/api/artifacts/hf-model-answerdotai-modernbert-base/download-plan)- Trust bundle
[Trust-bundle JSON](/api/trust-bundles/hf-model-answerdotai-modernbert-base)- Review summary
[Review-summary JSON](/api/artifacts/hf-model-answerdotai-modernbert-base/review-summary)- Distribution
[Reviewed peer-fallback JSON](/api/artifacts/hf-model-answerdotai-modernbert-base/distribution)

Can I run this? #

Easy local fit. CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests. Start with the local kit, verify hashes, then run a small inference or embedding check before production use.

  • Estimated footprint
  • 1.2 GB
  • Suggested runners
  • Transformers, vLLM
  • Runtime files
  • 0
  • Local kit

Local run kit Run-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist.

- License: pass - apache-2.0
- Provenance: pass - answerdotai/ModernBERT-base
- Scan: warn - pending
- Hosted files: warn - external metadata only
- Signed manifest: fail - not final yet
- Community: warn - no reviews yet
- Benchmarks: warn - no benchmark evidence

Machine-readable card #

Open interactive artifact page

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