Arxiv:0000.00000 Ar Cs De Embeddings En Endpoints compatible Es Feature-extraction Fr Granite It Ja Ko Language Model-index Mteb Multilingual Nl Pt Pytorch Region:us Safetensors Sentence-similarity Text-embeddings-inference Xlm-roberta Zh
Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-embedding-107m-multilingual
Granite Embedding 107M Multilingual Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Granite Embedding 107M Multilingual Parameters and Internals
| LLM Name | Granite Embedding 107M Multilingual |
| Repository 🤗 | https://huggingface.co/ibm-granite/granite-embedding-107m-multilingual |
| Model Size | 107m |
| Required VRAM | 0.2 GB |
| Updated | 2025-01-21 |
| Maintainer | ibm-granite |
| Model Type | xlm-roberta |
| Model Files | |
| Supported Languages | en ar cs de es fr it ja ko nl pt zh |
| Model Architecture | XLMRobertaModel |
| License | apache-2.0 |
| Context Length | 514 |
| Model Max Length | 514 |
| Transformers Version | 4.15.0 |
| Tokenizer Class | XLMRobertaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 250002 |
| Torch Data Type | bfloat16 |
Rank the Granite Embedding 107M Multilingual Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227