# hotchpotch/ModernBERT-embedding-CMNBRL

Model from Hugging Face for sentence similarity: hotchpotch/ModernBERT-embedding-CMNBRL · sentence transformers

Last checked 2026-10-27T20:08:54.238Z

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/hotchpotch/ModernBERT-embedding-CMNBRL
- Hosting: hosted (10 files)
- Files: 10 hosted of 10 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: 10 files, 599.8 MB
- Full repo upstream: 599.8 MB
- Recommended file: 596.1 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-hotchpotch-modernbert-embedding-cmnbrl/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-hotchpotch-modernbert-embedding-cmnbrl/download-plan)
- Per-file SHA-256: available for 10 of 10 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-hotchpotch-modernbert-embedding-cmnbrl/files?limit=100
- 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: 21
- Stars: 1
- Card completeness: 96%

## Description

External Hugging Face catalog record for hotchpotch/ModernBERT-embedding-CMNBRL. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1, sentence-transformers/natural-questions, sentence-transformers/gooaq, sentence-transformers/ccnews, sentence-transformers/hotpotqa. Base model: answerdotai/ModernBERT-base. Includes 12 model-card evaluation signals. Popularity signal at import: 57 downloads and 1 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: answerdotai/ModernBERT-base
- Task categories: sentence-similarity
- Languages: en
- Referenced datasets: sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1, sentence-transformers/natural-questions, sentence-transformers/gooaq, sentence-transformers/ccnews, sentence-transformers/hotpotqa
- Metrics: cosine_accuracy@10, cosine_precision@10, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@10
- Paper ids: 1908.10084
- Model-index entries: SentenceTransformer based on answerdotai/ModernBERT-base
- Evaluation signals: 12 model-card eval results
- File hints: 12 upstream file samples

## Evaluation Signals

- NanoClimateFEVER: Cosine Accuracy@10 = 0.68 (Information Retrieval)
- NanoClimateFEVER: Cosine Precision@10 = 0.09 (Information Retrieval)
- NanoClimateFEVER: Cosine Recall@10 = 0.374 (Information Retrieval)
- NanoClimateFEVER: Cosine Ndcg@10 = 0.3204103646278264 (Information Retrieval)
- NanoClimateFEVER: Cosine Mrr@10 = 0.42072222222222216 (Information Retrieval)
- NanoClimateFEVER: Cosine Map@10 = 0.2384825396825397 (Information Retrieval)
- NanoDBPedia: Cosine Accuracy@10 = 0.94 (Information Retrieval)
- NanoDBPedia: Cosine Precision@10 = 0.39000000000000007 (Information Retrieval)
- NanoDBPedia: Cosine Recall@10 = 0.2684345324233032 (Information Retrieval)
- NanoDBPedia: Cosine Ndcg@10 = 0.5013173913967965 (Information Retrieval)

## Referenced Data

- Dataset: sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1
- Dataset: sentence-transformers/natural-questions
- Dataset: sentence-transformers/gooaq
- Dataset: sentence-transformers/ccnews
- Dataset: sentence-transformers/hotpotqa
- Paper: 1908.10084

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (312 B)
- README.md (95 KB)
- config.json (1.2 KB)
- config_sentence_transformers.json (288 B)
- model.safetensors (568 MB) LFS
- modules.json (229 B)
- sentence_bert_config.json (57 B)
- special_tokens_map.json (694 B)
- tokenizer.json (3.4 MB)
- tokenizer_config.json (21 KB)
- train_st_loss_example.py (10 KB)

## 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 2026-08-30T02:20:01.649Z.
- Open license detected as apache-2.0.
- Model-index metadata found for SentenceTransformer based on answerdotai/ModernBERT-base.
- Model card references dataset context: sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1, sentence-transformers/natural-questions, sentence-transformers/gooaq, sentence-transformers/ccnews.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-hotchpotch-modernbert-embedding-cmnbrl/download-plan
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