General
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theme: jekyll-theme-cayman
generic skill
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Explore
Find agent skills by outcome
128,065 skills indexed with the new KISS metadata standard.
Showing 24 of 128,065Categories: Data & Insights, Coding & Debugging, Productivity, General
General
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🇨🇳中文 | 🌐English | [📖文档/Docs](https://github.com/shibi
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General
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Byte-compiled / optimized / DLL files
pycache/
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General
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🇨🇳中文 | 🌐English | [📖文档/Docs](https://github.com/shibi
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General
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Contributing
We are happy to accept your contributions to make this repo better and more awesome! To avoid unnecessary work on either
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General
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Untitled Skill
English ｜ 中文
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General
PromptBeginner5 minmarkdownQuality: 65
Untitled Skill
English ｜ 中文
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General
PromptBeginner5 minmarkdownQuality: 68
Chinese-LLaMA-Alpaca-3项目启动！
🇨🇳中文 | 🌐English | 📖文档/Docs | ❓提问/Issues | 💬讨论/Discussions | [⚔️
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General
PromptBeginner5 minmarkdownQuality: 68
Chinese-LLaMA-Alpaca-3 is launched!
🇨🇳中文 | 🌐English | 📖文档/Docs | ❓提问/Issues | 💬讨论/Discussions | [⚔️
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General
PromptBeginner5 minmarkdownQuality: 33
.DS_Store
*/.DS_Store
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General
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notebooks/ linguist-vendored
generic skill
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General
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SHA256
为了保证文件的完整性，请一定要检查下列文件SHA256值的一致性。
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General
PromptBeginner5 minmarkdownQuality: 65
Chinese-LLaMA-Alpaca-3项目启动！
🇨🇳中文 | 🌐English | 📖文档/Docs | ❓提问/Issues | 💬讨论/Discussions | [⚔️竞技场/Ar
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General
PromptBeginner5 minmarkdownQuality: 47
Apache License
Version 2.0, January 2004
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General
PromptBeginner5 minmarkdownQuality: 65
Chinese-LLaMA-Alpaca-3 is launched!
🇨🇳中文 | 🌐English | 📖文档/Docs | ❓提问/Issues | 💬讨论/Discussions | [⚔️竞技场/Ar
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General
PromptBeginner5 minmarkdownQuality: 33
notebooks/ linguist-vendored
generic skill
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General
PromptBeginner5 minmarkdownQuality: 33
.DS_Store
*/.DS_Store
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General
PromptBeginner5 minmarkdownQuality: 68
ChatGLM3
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General
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ChatGLM3
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General
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ChatGLM3 Chat Format
To avoid injection attacks from user input, and to unify the input of Code Interpreter, Tool & Agent and other tasks, ChatGLM3 adopts a brand-new dialogue format.
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General
PromptBeginner5 minmarkdownQuality: 65
ChatGLM3 对话格式
为了避免用户输入的注入攻击，以及统一 Code Interpreter，Tool & Agent 等任务的输入，ChatGLM3 采用了全新的对话格式。
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General
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Low-Cost Deployment
By default, the model is loaded with FP16 precision, running the above code requires about 13GB of VRAM. If your GPU's VRAM is limited, you can try loading the model quantitatively, as follows:
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General
PromptBeginner5 minmarkdownQuality: 40
pycache
finetune_demo/output
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General
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低成本部署
默认情况下，模型以 FP16 精度加载，运行上述代码需要大概 13GB 显存。如果你的 GPU 显存有限，可以尝试以量化方式加载模型，使用方法如下：
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