Key Specifications
| Vendor | deepseek |
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| Version | v2-chat |
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| Release Date | 2024-06-17 |
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| Context Window | 32768 tokens |
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| Input Modalities | text |
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| Output Modalities | text |
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| License | DeepSeek License |
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| Documentation | https://api-docs.deepseek.com/ |
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Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 76.6 | % | 2024-06-17 | 5-shot | view |
| HUMANEVAL | 67 | pass@1 | 2024-06-17 | — | view |
| GSM8K | 77.4 | % | 2024-06-17 | 0-shot CoT | view |
| MATH | 49.3 | % | 2024-06-17 | 0-shot CoT | view |
| BBH | 75.4 | % | 2024-06-17 | 3-shot CoT | view |
| GPQA | 38.3 | % | 2024-06-17 | 0-shot | view |
| IFEVAL | 71.5 | % | 2024-06-17 | prompt_strict | view |
| ARC | 94.6 | % | 2024-06-17 | challenge | view |
| MUSR | 52 | % | 2024-06-17 | 0-shot | view |
| WINOGRANDE | 80.2 | % | 2024-06-17 | 0-shot | view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
DeepSeek V2 Chat
Modellübersicht
DeepSeek V2 Chat 对话版本, 32K 上下文, 针对对话场景优化, 适合聊天助手与客服应用。
Kernspezifikationen
| Anbieter | Version | Veröffentlichungsdatum | Kontextfenster | Eingabemodalitäten | Ausgabemodalitäten | Lizenz |
|---|
| Deepseek | v2-chat | 2024-06-17 | 32K | text | text | DeepSeek License |
Benchmark-Leistung
| Benchmark | Ergebnis | Einheit | Notizen |
|---|
| MMLU (Massive Multitask Language Understanding) | 76.6 | % | 5-shot |
| HumanEval | 67.0 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 77.4 | % | 0-shot CoT |
| MATH | 49.3 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 75.4 | % | 3-shot CoT |
| GPQA | 38.3 | % | 0-shot |
| IFEval | 71.5 | % | prompt_strict |
| ARC | 94.6 | % | challenge |
| MUSR | 52.0 | % | 0-shot |
| WinoGrande | 80.2 | % | 0-shot |
Preise
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
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| — | — | — | — |
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