We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as ma
Use unified tools to easily work with different AI models and instruction-tuning data.
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Free · no card · unsubscribe anytimeWe unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as ma
Alpaca-CoT has 2.8k stars on GitHub. It has been forked 247 times. Alpaca-CoT is written mainly in Jupyter Notebook. It has been in active development since 2023. Alpaca-CoT is available under the Apache-2.0 license. Its main topics are alpaca, chatglm, chatgpt, cot.
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as ma
Alpaca-CoT is an open-source project. It is released under the Apache-2.0 license.
Yes. Alpaca-CoT is free and open source — you can use, modify and self-host it.
Alpaca-CoT is available under the Apache-2.0 license.
Alpaca-CoT is written mainly in Jupyter Notebook.
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