stanford_alpaca

核心特点

• •The 52K data used for fine-tuning the model.
• •The code for generating the data.
• •The code for fine-tuning the model.
• •The code for recovering Alpaca-7B weights from our released weight diff.
• •instruction: str, describes the task the model should perform. Each of the 52K instructions is unique.
• •output: str, the answer to the instruction as generated by text-davinci-003.
• •for examples with a non-empty input field:
• •for examples with an empty input field:
• •We used text-davinci-003 to generate the instruction data instead of davinci.
• •We adopted much more aggressive batch decoding, i.e., generating 20 instructions at once, which significantly reduced the cost of data generation.