DeepSeek LLM in-house safety evaluation
Only in system cards
Models answer 2,400 Chinese test cases on discrimination, legal rights, trade secrets, illegal behavior and other safety issues. Human annotators judge each answer.
In-house DeepSeek evaluation. Results are safe answers out of total cases per category.
Made by DeepSeek Released Jan 2024 Refusing harmful requests Tasks kept private Last in a system card Jan 2024
Last model added Jan 2024
- Level
- Everyday Most adults, without training
- Scored
- Graded by people Human experts grade or compare the outputs.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for DeepSeek LLM in-house safety evaluation yet.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
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 |
|---|---|---|---|---|
| 5 Jan 2024 |  DeepSeek LLM 67B technical report | In-house safety taxonomy, safe answers / total cases by category, no overall: Discrimination 486/500, Legal rights 473/500, Trade secrets and IP 281/300, Illegal behavior 290/300, Other 767/800 (Table 10) | Safety |
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