Key Specifications
| Vendor | deepseek |
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| Version | math-7b |
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| Release Date | 2024-02-06 |
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| Context Window | 4096 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 | 69.3 | % | 2024-02-06 | 5-shot | view |
| HUMANEVAL | 54 | pass@1 | 2024-02-06 | — | view |
| GSM8K | 83.1 | % | 2024-02-06 | 0-shot CoT | view |
| MATH | 53.8 | % | 2024-02-06 | 0-shot CoT | view |
| BBH | 65.9 | % | 2024-02-06 | 3-shot CoT | view |
| GPQA | 40.5 | % | 2024-02-06 | 0-shot | view |
| IFEVAL | 61.1 | % | 2024-02-06 | prompt_strict | view |
| ARC | 90.5 | % | 2024-02-06 | challenge | view |
| MUSR | 49.8 | % | 2024-02-06 | 0-shot | view |
| WINOGRANDE | 79.2 | % | 2024-02-06 | 0-shot | view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
DeepSeek Math 7B
Modellübersicht
DeepSeek Math 7B 数学专用开源模型, 4K 上下文, 在 MATH 基准上达到 64.7%, 7B 规模数学模型领先。
Kernspezifikationen
| Anbieter | Version | Veröffentlichungsdatum | Kontextfenster | Eingabemodalitäten | Ausgabemodalitäten | Lizenz |
|---|
| Deepseek | math-7b | 2024-02-06 | 4K | text | text | DeepSeek License |
Benchmark-Leistung
| Benchmark | Ergebnis | Einheit | Notizen |
|---|
| MMLU (Massive Multitask Language Understanding) | 69.3 | % | 5-shot |
| HumanEval | 54.0 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 83.1 | % | 0-shot CoT |
| MATH | 53.8 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 65.9 | % | 3-shot CoT |
| GPQA | 40.5 | % | 0-shot |
| IFEval | 61.1 | % | prompt_strict |
| ARC | 90.5 | % | challenge |
| MUSR | 49.8 | % | 0-shot |
| WinoGrande | 79.2 | % | 0-shot |
Preise
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
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| — | — | — | — |
pro Million Token
Stärken
Schwächen
- 闭源专有模型，不支持自托管。
- 上下文窗口 4K 偏小。
Anwendungsfälle
Referenzen