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Model: Adc05102002/bge-m3-vi-base Source: Original Platform
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README.md
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README.md
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---
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language:
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- multilingual
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license: mit
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library_name: transformers
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pipeline_tag: sentence-similarity
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tags:
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- embeddings
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- text-embeddings-inference
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- bge
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- bge-m3
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- multilingual
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- retrieval
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- semantic-search
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- xlm-roberta
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- custom-tokenizer
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- long-context
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base_model: BAAI/bge-m3
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model_type: xlm-roberta
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---
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# BGE-M3 Custom Tokenizer (8.5K Vocab)
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A customized version of :contentReference[oaicite:0]{index=0} with a newly trained tokenizer optimized for domain-specific multilingual retrieval workloads.
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This model replaces the original XLM-R tokenizer vocabulary with a compact 8.5K-token tokenizer trained on a custom corpus.
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## Highlights
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- Based on `BAAI/bge-m3`
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- Custom tokenizer trained from scratch
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- Reduced vocabulary size: **8500**
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- Long-context support: **8192 tokens**
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- Multilingual retrieval and embedding model
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- Optimized for:
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- semantic search
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- RAG pipelines
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- dense retrieval
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- domain-specific embeddings
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---
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# Model Details
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## Base Model
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- Architecture: XLM-RoBERTa
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- Original model: `BAAI/bge-m3`
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- Embedding dimension: 1024
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- Transformer encoder model
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## Tokenizer
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The original tokenizer was replaced with a newly trained tokenizer using:
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```python
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tokenizer = base_tokenizer.train_new_from_iterator(
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batch_iterator(),
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vocab_size=8500,
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min_frequency=2,
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)
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config.json
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config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"XLMRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"is_decoder": false,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 4026,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 6592
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ca6d364b994d2fbb3babe7de36fad00eb8f69ad12fc4bf91cd45856cdd08666
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size 1256984264
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26619
tokenizer.json
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tokenizer.json
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tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"is_local": true,
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"mask_token": "<mask>",
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"model_max_length": 8192,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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