Key Specifications
| Vendor | deepseek |
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| Version | llm-67b |
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| Release Date | 2024-01-05 |
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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 | 75.2 | % | 2024-01-05 | 5-shot | view |
| HUMANEVAL | 68.3 | pass@1 | 2024-01-05 | — | view |
| GSM8K | 79.9 | % | 2024-01-05 | 0-shot CoT | view |
| MATH | 39.3 | % | 2024-01-05 | 0-shot CoT | view |
| BBH | 72.6 | % | 2024-01-05 | 3-shot CoT | view |
| GPQA | 37.3 | % | 2024-01-05 | 0-shot | view |
| IFEVAL | 76.8 | % | 2024-01-05 | prompt_strict | view |
| ARC | 94 | % | 2024-01-05 | challenge | view |
| MUSR | 51.9 | % | 2024-01-05 | 0-shot | view |
| WINOGRANDE | 78.1 | % | 2024-01-05 | 0-shot | view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
DeepSeek LLM 67B
Modellübersicht
DeepSeek LLM 67B 通用开源模型, 32K 上下文, 中英文能力平衡, 在开源 67B 模型中表现突出。
Kernspezifikationen
| Anbieter | Version | Veröffentlichungsdatum | Kontextfenster | Eingabemodalitäten | Ausgabemodalitäten | Lizenz |
|---|
| Deepseek | llm-67b | 2024-01-05 | 32K | text | text | DeepSeek License |
Benchmark-Leistung
| Benchmark | Ergebnis | Einheit | Notizen |
|---|
| MMLU (Massive Multitask Language Understanding) | 75.2 | % | 5-shot |
| HumanEval | 68.3 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 79.9 | % | 0-shot CoT |
| MATH | 39.3 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 72.6 | % | 3-shot CoT |
| GPQA | 37.3 | % | 0-shot |
| IFEval | 76.8 | % | prompt_strict |
| ARC | 94.0 | % | challenge |
| MUSR | 51.9 | % | 0-shot |
| WinoGrande | 78.1 | % | 0-shot |
Preise
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
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| — | — | — | — |
pro Million Token
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