π§ Model
gte-multilingual-base
by Alibaba-NLP
gte-multilingual-base is an open-source AI model by Alibaba-NLP
π Updated 12/31/2025
Technical Specifications
Parameters0.31
ArchitectureNewModel
View Config (4 entries)
{
"architectures": [
"NewModel",
"NewForTokenClassification"
],
"auto_map": {
"AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
"AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
"AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
"AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
"AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
"AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
"AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
},
"model_type": "new",
"tokenizer_config": {
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": "<mask>",
"pad_token": "<pad>",
"sep_token": "</s>",
"unk_token": "<unk>"
}
}
πΎ
Est. VRAM Required
~3 GB
Estimation Formula
VRAM = params Γ 0.6 + 2 GB
Based on FP16 precision.
β οΈ Does not account for KV cache or parallel overhead.
π Estimate only. Actual requirements may vary.
π Daily sync (11:00 Beijing)
Based on open-source metadata snapshot. Last synced: Dec 31, 2025
π§ Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
Parameters 0.31B
Technical Specifications
Parameters0.31
ArchitectureNewModel
0View Config (4 entries)
{
"architectures": [
"NewModel",
"NewForTokenClassification"
],
"auto_map": {
"AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
"AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
"AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
"AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
"AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
"AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
"AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
},
"model_type": "new",
"tokenizer_config": {
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": "<mask>",
"pad_token": "<pad>",
"sep_token": "</s>",
"unk_token": "<unk>"
}
}
π Limitations & Considerations
- β’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
- β’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
- β’ FNI scores are relative rankings and may change as new models are added.
- β License Unknown: Verify licensing terms before commercial use.
- β’ Source: Huggingface
π Related Resources
π Related Papers
No related papers linked yet. Check the model's official documentation for research papers.
π Training Datasets
Training data information not available. Refer to the original model card for details.
π Related Models
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