Biology-Instructions
Intern-S2-397B 55.7% leads since September 2026 Models answer multi-omics sequence tasks on DNA, RNA, protein and multi-molecule inputs, such as property prediction and interaction tasks. Scored per task with task metrics.
It is an instruction-tuning dataset with a held-out benchmark split. Shanghai AI Lab Intern-S models report the benchmark split.
- Released
- December 2024
- Kind
- Genomics and life sciences
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a launch post
- September 2026, dropped before it saturated
- Last model added
- September 2026
In the authors’ words
Large language models (LLMs) have shown remarkable capabilities in general domains, but their application to multi-omics biology remains underexplored. To address this gap, we introduce Biology-Instructions, the first large-scale instruction-tuning dataset for multi-omics biological sequences, including DNA, RNA, proteins, and multi-molecules. This dataset bridges LLMs and complex biological sequence-related tasks, enhancing their versatility and reasoning while maintaining conversational fluency. We also highlight significant limitations of current state-of-the-art LLMs on multi-omics tasks without specialized training. To overcome this, we propose ChatMultiOmics, a strong baseline with a novel three-stage training pipeline, demonstrating superior biological understanding through Biology-Instructions. Both resources are publicly available, paving the way for better integration of LLMs in multi-omics analysis. The Biology-Instructions is publicly available at: https://github.com/hhnqqq/Biology-Instructions.
Intern-S2-397B leads with 55.7%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 Intern-S2-397B 55.7%
- 2 Intern-S1-Pro 52.5%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Intern-S2-397B | 55.7% | Sep 2026 | Lab model card | |
| 2 | Intern-S1-Pro | 52.5% | Feb 2026 | Lab model card |
2 models have held number one in labs’ own numbers since its release in December 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in September 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Sep 13, 2026 | Intern-S2-397B | 55.7 | Biology-Instructions (Multi-omics Sequence Analysis) |
| Feb 2, 2026 | Intern-S1-Pro | 52.5 | Biology-Instruction |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Mar 26, 2026 | Intern-S1-Pro technical report | 52.5 | Biology-Instruction, Multi-Omics Sequence, non-thinking (Table 2). Table 4 gives 21 datasets with AVG score 52.45 | Capabilities |
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