Base model:quantized:sentence-... Base model:sentence-transforme... Bert Feature-extraction Onnx Region:us Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/all-MiniLM-L12-v2
All MiniLM L12 V2 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)
All MiniLM L12 V2 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | All MiniLM L12 V2 |
| Repository 🤗 | https://huggingface.co/Xenova/all-MiniLM-L12-v2 |
| Base Model(s) | |
| Updated | 2025-02-05 |
| Maintainer | Xenova |
| Model Type | bert |
| Model Architecture | AutoModel |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.29.2 |
| Tokenizer Class | BertTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 30522 |
Best Alternatives to All MiniLM L12 V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Distil Longformer Base 4096 | 4K / 0.4 GB | 120 | 0 |
| Daedalus 1 | 1K / GB | 7 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 6 | 0 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 37 | 1 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 5 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 6 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 13 | 0 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 6 | 1 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 6 | 0 |
| Biobert Base Cased V1.1 | 0.5K / 0.4 GB | 1184896 | 17 |
Note: green Score (e.g. "73.2") means that the model is better than Xenova/all-MiniLM-L12-v2 .
Rank the All MiniLM L12 V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227