DNABERT S is an open-source language model by zhihan1996. Features: 117m LLM, VRAM: 0.5GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.15.
Bert Biology Custom code Endpoints compatible Feature-extraction Genomics Pytorch Region:us Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/zhihan1996/DNABERT-S
DNABERT S 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)
DNABERT S Parameters and Internals
| LLM Name | DNABERT S |
| Repository 🤗 | https://huggingface.co/zhihan1996/DNABERT-S |
| Model Size | 117m |
| Required VRAM | 0.5 GB |
| Updated | 2026-05-29 |
| Maintainer | zhihan1996 |
| Model Type | bert |
| Model Files | |
| Model Architecture | BertModel |
| License | apache-2.0 |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.28.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | [PAD] |
| Vocabulary Size | 4096 |
| Torch Data Type | float32 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a