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awesome-llama: https://github.com/svjack/CodeActAgent-Gradio

agent agent-based-modeling chatbot code-act code-action code-generation code-llms coding gradio gradio-interface llama llama-cpp llama-cpp-python llm llm-agent mistral mistral-7b mixtral prompt python

Score: 2.772588722239781

Last synced: about 21 hours ago
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Repository metadata:

UnOfficial Gradio Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.


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Last synced: 4 days ago

Total Commits: 28
Total Committers: 1
Avg Commits per committer: 28.0
Development Distribution Score (DDS): 0.0

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
svjack e****u@o****m 28

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Last synced: 10 months ago

Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
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Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

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Dependencies

requirements.txt pypi
  • gradio ==4.29.0
  • ipykernel ==6.25.0
  • llama-cpp-python ==0.2.69
  • numpy *
  • pandas *
  • scikit-learn *
  • torch *
  • transformers *