Arxiv:1908.08962 Arxiv:2110.01518 Bert En Endpoints compatible Mnli Nli Pre-training Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/prajjwal1/bert-tiny
Bert Tiny 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)
Bert Tiny Parameters and Internals
| Model Type |
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| Use Cases |
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| Additional Notes |
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| Training Details |
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| LLM Name | Bert Tiny |
| Repository 🤗 | https://huggingface.co/prajjwal1/bert-tiny |
| Required VRAM | 0 GB |
| Updated | 2025-11-12 |
| Maintainer | prajjwal1 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModel |
| License | mit |
| Context Length | 512 |
| Model Max Length | 512 |
| Vocabulary Size | 30522 |
Best Alternatives to Bert Tiny
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Distil Longformer Base 4096 | 4K / 0.4 GB | 11 | 0 |
| Daedalus 1 | 1K / GB | 6 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 21 | 0 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 20 | 1 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 8 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 0 | 1 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 4 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 6 | 0 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 5 | 0 |
| All MiniLM L12 V2 | 0.5K / GB | 1016 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than prajjwal1/bert-tiny .
Rank the Bert Tiny Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124