knox / Colossal-AI-readme-3.sh
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| 1 | BUILD_EXT=1 pip install colossalai |
knox / Colossal-AI-readme-2.sh
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| 1 | pip install colossalai |
knox / Colossal-AI-readme-1.md
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| Model | Backbone | Tokens Consumed | MMLU (5-shot) | CMMLU (5-shot) | AGIEval (5-shot) | GAOKAO (0-shot) | CEval (5-shot) |
|---|---|---|---|---|---|---|---|
| Baichuan-7B | - | 1.2T | 42.32 (42.30) | 44.53 (44.02) | 38.72 | 36.74 | 42.80 |
| Baichuan-13B-Base | - | 1.4T | 50.51 (51.60) | 55.73 (55.30) | 47.20 | 51.41 | 53.60 |
| Baichuan2-7B-Base | - | 2.6T | 46.97 (54.16) | 57.67 (57.07) | 45.76 | 52.60 | 54.00 |
| Baichuan2-13B-Base | - | 2.6T | 54.84 (59.17) | 62.62 (61.97) | 52.08 | 58.25 | 58.10 |
| ChatGLM-6B | - | 1.0T | 39.67 (40.63) | 41.17 (-) | 40.10 | 36.53 | 38.90 |
| ChatGLM2-6B | - | 1.4T | 44.74 (45.46) | 49.40 (-) | 46.36 | 45.49 | 51.70 |
| InternLM-7B | - | 1.6T | 46.70 (51.00) | 52.00 (-) | 44.77 | 61.64 | 52.80 |
| Qwen-7B | - | 2.2T | 54.29 (56.70) | 56.03 (58.80) | 52.47 | 56.42 | 59.60 |
knox / MetaGPT-readme-6.bibtex
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| 1 | @inproceedings{hong2024metagpt, |
| 2 | title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework}, |
| 3 | author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber}, |
| 4 | booktitle={The Twelfth International Conference on Learning Representations}, |
| 5 | year={2024}, |
| 6 | url={https://openreview.net/forum?id=VtmBAGCN7o} |
| 7 | } |
| 8 | @misc{hong2024data, |
| 9 | title={Data Interpreter: An LLM Agent For Data Science}, |
| 10 | author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu}, |
knox / MetaGPT-readme-5.py
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| 1 | import asyncio |
| 2 | from metagpt.roles.di.data_interpreter import DataInterpreter |
| 3 | |
| 4 | async def main(): |
| 5 | di = DataInterpreter() |
| 6 | await di.run("Run data analysis on sklearn Iris dataset, include a plot") |
| 7 | |
| 8 | asyncio.run(main()) # or await main() in a jupyter notebook setting |
knox / MetaGPT-readme-5.py
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| 1 | from metagpt.software_company import generate_repo, ProjectRepo |
| 2 | repo: ProjectRepo = generate_repo("Create a 2048 game") # or ProjectRepo("<path>") |
| 3 | print(repo) # it will print the repo structure with files |
knox / MetaGPT-readme-4.sh
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| 1 | metagpt "Create a 2048 game" # this will create a repo in ./workspace |
knox / MetaGPT-readme-3.yaml
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| 1 | llm: |
| 2 | api_type: "openai" # or azure / ollama / groq etc. Check LLMType for more options |
| 3 | model: "gpt-4-turbo" # or gpt-3.5-turbo |
| 4 | base_url: "https://api.openai.com/v1" # or forward url / other llm url |
| 5 | api_key: "YOUR_API_KEY" |
knox / MetaGPT-readme-2.sh
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| 1 | # Check https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html for more details |
| 2 | metagpt --init-config # it will create ~/.metagpt/config2.yaml, just modify it to your needs |