Granite Embedding 30M English is an open-source language model by ibm-granite. Features: 30m LLM, VRAM: 0.1GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.27.
Arxiv:2502.20204 Autotrain compatible Embeddings En Endpoints compatible Feature-extraction Granite Language Mteb Onnx Pytorch Region:us Roberta Safetensors Sentence-similarity Sentence-transformers Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-embedding-30m-english
Granite Embedding 30M English 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 30M English Parameters and Internals
| LLM Name | Granite Embedding 30M English |
| Repository 🤗 | https://huggingface.co/ibm-granite/granite-embedding-30m-english |
| Model Size | 30m |
| Required VRAM | 0.1 GB |
| Updated | 2025-11-05 |
| Maintainer | ibm-granite |
| Model Type | roberta |
| Model Files | |
| Supported Languages | en |
| Model Architecture | RobertaModel |
| License | apache-2.0 |
| Context Length | 514 |
| Model Max Length | 514 |
| Transformers Version | 4.15.0 |
| Tokenizer Class | RobertaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 50265 |
| Torch Data Type | bfloat16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20241124