Key Specifications
| Vendor | alibaba |
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| Version | 1.5-110b |
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| Release Date | 2024-02-25 |
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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 | Qwen License |
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| Documentation | https://qwenlm.github.io/ |
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Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 86.1 | % | 2024-02-25 | 5-shot | view |
| HUMANEVAL | 76.5 | pass@1 | 2024-02-25 | — | view |
| GSM8K | 80.6 | % | 2024-02-25 | 0-shot CoT | view |
| MATH | 54.1 | % | 2024-02-25 | 0-shot CoT | view |
| BBH | 82.3 | % | 2024-02-25 | 3-shot CoT | view |
| GPQA | 45.9 | % | 2024-02-25 | 0-shot | view |
| IFEVAL | 83.4 | % | 2024-02-25 | prompt_strict | view |
| ARC | 95.7 | % | 2024-02-25 | challenge | view |
| MUSR | 63.9 | % | 2024-02-25 | 0-shot | view |
| WINOGRANDE | 84 | % | 2024-02-25 | 0-shot | view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Qwen1.5 110B
Przegląd modelu
阿里巴巴 Qwen1.5 110B 开源超大模型, 32K 上下文, 在中文与多语言基准上表现突出。
Podstawowe specyfikacje
| Dostawca | Wersja | Data wydania | Okno kontekstowe | Modalności wejściowe | Modalności wyjściowe | Licencja |
|---|
| Alibaba | 1.5-110b | 2024-02-25 | 32K | text | text | Qwen License |
Wydajność benchmarków
| Benchmark | Wynik | Jednostka | Uwagi |
|---|
| MMLU (Massive Multitask Language Understanding) | 86.1 | % | 5-shot |
| HumanEval | 76.5 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 80.6 | % | 0-shot CoT |
| MATH | 54.1 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 82.3 | % | 3-shot CoT |
| GPQA | 45.9 | % | 0-shot |
| IFEval | 83.4 | % | prompt_strict |
| ARC | 95.7 | % | challenge |
| MUSR | 63.9 | % | 0-shot |
| WinoGrande | 84.0 | % | 0-shot |
Ceny
| Wejście | Wyjście | Odczyt pamięci podręcznej | Zapis pamięci podręcznej |
|---|
| — | — | — | — |
za milion tokenów
Mocne strony
- MMLU score 86.1, strong knowledge reasoning.
Słabe strony
Przypadki użycia
Referencje