Model reference · open weights
Vietnamese_Embedding is an open-weight embedding model from AITeamVN, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Model Card: VietnameseEmbeddingv2 VietnameseEmbeddingv2 is an embedding model fine-tuned from the BGE-M3 model (https://huggingface.co/BAAI/bge-reranker-v2-m3) to enhance retrieval capabilities for Vietnamese. The model was trained on approximately 1,100,000 triplets of queries, positive documents, and negative documents for Vietnamese. The model was trained with a maximum sequence length of 2304 (256 for query and 2048 for passages). Model Details Model Description - Model Type: Sentence Transformer - Base model: BAAI/bge-m3 - Maximum Sequence Length: 2048 tokens - Output Dimensionality: 1024 dimensions - Similarity Function: Dot product Similarity - Language: Vietnamese - Licence: Apache 2.0 Usage Evaluation: - Dataset: Entire training dataset of Legal Zalo 2021. Our model was not trained on this dataset. VietnameseReranker and VietnameseEmbeddingv2 was trained on 1,100,000 triplets. Although the score on the legal domain drops a bit on VietnameseEmbedding (Phase 2), since this phase data is much larger, it is good for other domains. You can reproduce the evaluation result by running code python evaluationmodel.py (data downloaded from Kaggle). Contact Email: nguyennhotrung3004@gmail.com Developer Member: Nguyễn Nho Trung, Nguyễn Nhật Quang, Nguyễn Văn Huy. Citation
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | AITeamVN |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 568M |
| Context | 8,194 tokens |
| Variants | 1 |
| Runs with | sentence-transformers |
| Based on | BAAI/bge-m3 |
| Released | 2025-04-30 |
| Popularity | 31k downloads / month |
| Likes | 12 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Vietnamese_Embedding_v2 | 568M | BF16 | ~1.3 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys vietnamese-embedding for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (vietnamese-embedding below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"vietnamese-embedding","input":"text to embed"}'
Details
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Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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