Key Specifications
| Vendor | other |
| Version | baichuan2-7b-chat |
| Release Date | 2023-09-06 |
| Context Window | 4096 tokens |
| Input Modalities | text |
| Output Modalities | text |
| License | Baichuan 2 License |
| Documentation | https://huggingface.co/models |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
57.9 |
% |
2023-09-06 |
5-shot |
view |
| HUMANEVAL |
49.2 |
pass@1 |
2023-09-06 |
— |
view |
| GSM8K |
40 |
% |
2023-09-06 |
0-shot CoT |
view |
| MATH |
18.8 |
% |
2023-09-06 |
0-shot CoT |
view |
| BBH |
53 |
% |
2023-09-06 |
3-shot CoT |
view |
| GPQA |
33.5 |
% |
2023-09-06 |
0-shot |
view |
| IFEVAL |
50.1 |
% |
2023-09-06 |
prompt_strict |
view |
| ARC |
86 |
% |
2023-09-06 |
challenge |
view |
| MUSR |
33.1 |
% |
2023-09-06 |
0-shot |
view |
| WINOGRANDE |
68.3 |
% |
2023-09-06 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $0.18 / Mtok | USD |
| Output | $0.18 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://huggingface.co/models
· as of 2023-09-06
Compliance
- Data Residency: self-host
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Baichuan2 7B Chat
Model Overview
百川智能 Baichuan2 7B Chat 经济型对话模型, 4K 上下文, 7B 参数, 适合本地中文场景部署。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Other |
baichuan2-7b-chat |
2023-09-06 |
4K |
text |
text |
Baichuan 2 License |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
57.9 |
% |
5-shot |
| HumanEval |
49.2 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
40.0 |
% |
0-shot CoT |
| MATH |
18.8 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
53.0 |
% |
3-shot CoT |
| GPQA |
33.5 |
% |
0-shot |
| IFEval |
50.1 |
% |
prompt_strict |
| ARC |
86.0 |
% |
challenge |
| MUSR |
33.1 |
% |
0-shot |
| WinoGrande |
68.3 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- Reliable general-purpose model.
Weaknesses
- MMLU 57.9, weak knowledge reasoning.
- HumanEval 49.2, coding weak.
- Proprietary, not self-hostable.
- Context window 4K is limited.
Use Cases
References