# KayaTechAI/BGE-M3-0.56B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-Generalization-Baseline

Model from Hugging Face for sentence similarity: KayaTechAI/BGE-M3-0.56B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-Generalization-Baseline · sentence transformers

## 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/KayaTechAI/BGE-M3-0.56B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-Generalization-Baseline
- Hosting: hosted (9 files)
- Files: 9 hosted of 13 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: at least 9 listed files; full count and size unknown
- Full repo upstream: 2.29 GB
- Parameters: 560M
- Download: https://huggingbay.xyz/artifact/hf-model-kayatechai-bge-m3-0-56b-fine-tuned-telecom-technical-documents-retrieval-embedding-generali/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-kayatechai-bge-m3-0-56b-fine-tuned-telecom-technical-documents-retrieval-embedding-generali/download-plan)
- Per-file SHA-256: available for 9 of 9 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-kayatechai-bge-m3-0-56b-fine-tuned-telecom-technical-documents-retrieval-embedding-generali/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: 85
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for KayaTechAI/BGE-M3-0.56B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-Generalization-Baseline. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: KayaTechAI/Telecom-Technical-Documents-Retrieval-Embedding-Dataset. Base model: BAAI/bge-m3. Includes 12 model-card evaluation signals. Popularity signal at import: 85 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: BAAI/bge-m3
- Task categories: sentence-similarity
- Languages: en
- Referenced datasets: KayaTechAI/Telecom-Technical-Documents-Retrieval-Embedding-Dataset
- Metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10
- Paper ids: 1908.10084, 2205.13147, 1705.00652
- Model-index entries: BGE-M3-Telecom-Retrieval-Embedding
- Evaluation signals: 12 model-card eval results
- File hints: 12 upstream file samples

## Evaluation Signals

- dim 1024: Cosine Accuracy@1 = 0.7852 (Information Retrieval)
- dim 1024: Cosine Accuracy@3 = 0.9008 (Information Retrieval)
- dim 1024: Cosine Accuracy@5 = 0.9324 (Information Retrieval)
- dim 1024: Cosine Accuracy@10 = 0.956 (Information Retrieval)
- dim 1024: Cosine Precision@1 = 0.7852 (Information Retrieval)
- dim 1024: Cosine Precision@3 = 0.3002666666666667 (Information Retrieval)
- dim 1024: Cosine Precision@5 = 0.18647999999999998 (Information Retrieval)
- dim 1024: Cosine Precision@10 = 0.09559999999999998 (Information Retrieval)
- dim 768: Cosine Accuracy@1 = 0.7848 (Information Retrieval)
- dim 768: Cosine Accuracy@3 = 0.9008 (Information Retrieval)

## Referenced Data

- Dataset: KayaTechAI/Telecom-Technical-Documents-Retrieval-Embedding-Dataset
- Paper: 1908.10084
- Paper: 2205.13147
- Paper: 1705.00652

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (313 B)
- README.md (49 KB)
- config.json (664 B)
- config_sentence_transformers.json (284 B)
- model.safetensors (2.1 GB) LFS
- modules.json (349 B)
- sentence_bert_config.json (58 B)
- sentencepiece.bpe.model (4.8 MB) LFS
- special_tokens_map.json (964 B)
- tokenizer.json (16 MB) LFS
- tokenizer_config.json (1.2 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 2026-09-24T14:16:59.709Z.
- Open license detected as apache-2.0.
- Model-index metadata found for BGE-M3-Telecom-Retrieval-Embedding.
- Model card references dataset context: KayaTechAI/Telecom-Technical-Documents-Retrieval-Embedding-Dataset.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

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- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-kayatechai-bge-m3-0-56b-fine-tuned-telecom-technical-documents-retrieval-embedding-generali&limit=100
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