Biobert Base Cased V1.1 is an open-source language model by dmis-lab. Features: LLM, VRAM: 0.4GB, Context: 0.5K, LLM Explorer Score: 0.09.
Model Card on HF 🤗: https://huggingface.co/dmis-lab/biobert-base-cased-v1.1
Biobert Base Cased V1.1 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)
Biobert Base Cased V1.1 Parameters and Internals
| LLM Name | Biobert Base Cased V1.1 |
| Repository 🤗 | https://huggingface.co/dmis-lab/biobert-base-cased-v1.1 |
| Required VRAM | 0.4 GB |
| Updated | 2026-03-29 |
| Maintainer | dmis-lab |
| Model Files | |
| Model Architecture | AutoModel |
| Context Length | 512 |
| Model Max Length | 512 |
| Vocabulary Size | 28996 |
Best Alternatives to Biobert Base Cased V1.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Distil Longformer Base 4096 | 4K / 0.4 GB | 36 | 0 |
| Daedalus 1 | 1K / GB | 9 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 21 | 0 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 4 | 1 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 4 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 0 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 6 | 0 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 1 | 1 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 5 | 0 |
| Bert Tiny | 0.5K / 0 GB | 784113 | 139 |
Note: green Score (e.g. "73.2") means that the model is better than dmis-lab/biobert-base-cased-v1.1 .
Rank the Biobert Base Cased V1.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a