Key Specifications
| Vendor | alibaba |
| Version | 2-72b |
| Release Date | 2024-06-07 |
| Context Window | 131072 tokens |
| Input Modalities | text |
| Output Modalities | text |
| License | Qwen License |
| Documentation | https://qwenlm.github.io/ |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
80.2 |
% |
2024-06-07 |
5-shot |
view |
| HUMANEVAL |
76.5 |
pass@1 |
2024-06-07 |
— |
view |
| GSM8K |
87 |
% |
2024-06-07 |
0-shot CoT |
view |
| MATH |
71.9 |
% |
2024-06-07 |
0-shot CoT |
view |
| BBH |
83.4 |
% |
2024-06-07 |
3-shot CoT |
view |
| GPQA |
53.6 |
% |
2024-06-07 |
0-shot |
view |
| IFEVAL |
76.9 |
% |
2024-06-07 |
prompt_strict |
view |
| ARC |
94.4 |
% |
2024-06-07 |
challenge |
view |
| MUSR |
68.9 |
% |
2024-06-07 |
0-shot |
view |
| WINOGRANDE |
82.5 |
% |
2024-06-07 |
0-shot |
view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Qwen2 72B
Model Overview
阿里巴巴 Qwen2 72B 开源旗舰, 131K 上下文, 多语言/数学/编程能力突出, 性能接近 GPT-4。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Alibaba |
2-72b |
2024-06-07 |
131K |
text |
text |
Qwen License |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
80.2 |
% |
5-shot |
| HumanEval |
76.5 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
87.0 |
% |
0-shot CoT |
| MATH |
71.9 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
83.4 |
% |
3-shot CoT |
| GPQA |
53.6 |
% |
0-shot |
| IFEval |
76.9 |
% |
prompt_strict |
| ARC |
94.4 |
% |
challenge |
| MUSR |
68.9 |
% |
0-shot |
| WinoGrande |
82.5 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 80.2, strong knowledge reasoning.
- GSM8K 87.0, robust math reasoning.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
References