alphaedge-ai / bge-m3-dan-32768

huggingface.co
Total runs: 86
24-hour runs: 4
7-day runs: 4
30-day runs: -41
Model's Last Updated: May 20 2026
sentence-similarity

Introduction of bge-m3-dan-32768

Model Details of bge-m3-dan-32768

bge-m3-dan-32768

This model is a 39.18% smaller version of BAAI/bge-m3 optimized for Danish language via vocabulary size reduction using the trimming method.
This trimmed model should perform similarly to the original model with only 32,768 tokens and a much smaller memory footprint. However, it may not perform well for other languages as tokens not commonly used in the selected languages were removed from the vocabulary.

Model Statistics
Metric Original Trimmed Reduction
Vocabulary size 250,002 tokens 32,768 tokens 86.89%
Model size 567,754,752 params 345,307,136 params 39.18%

image

Mining Dataset Statistics
Usage
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("alphaedge-ai/bge-m3-dan-32768")
# Run inference with queries and documents
query = "My query in Danish"
documents = [
    "Chunk in Danish",
    "Chunk in Danish",
    "Chunk in Danish",
]
query_embeddings = model.encode_query(query)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# Compute similarities to determine a ranking
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
Citations
BGE-M3
@misc{bge-m3,
      title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation}, 
      author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
      year={2024},
      eprint={2402.03216},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
Trimming blog post
@misc{hf_blogpost_trimming,
      title={Introduction to Trimming}, 
      author={Loïck BOURDOIS and Tom AARSEN and Bram VANROY and Christopher AKIKI and Woojun JUNG and Manuel ROMERO and Prithiv SAKTHI},
      year={2026},
      url={https://huggingface.co/blog/lbourdois/introduction-to-trimming}, 
}

Runs of alphaedge-ai bge-m3-dan-32768 on huggingface.co

86
Total runs
4
24-hour runs
19
3-day runs
4
7-day runs
-41
30-day runs

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