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README.md
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A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. See https://vicuna.lmsys.org/ for more details.
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## Major updates of weights v1.1
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- Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from
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- Fix the supervised fine-tuning loss computation for better model quality.
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A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. See https://vicuna.lmsys.org/ for more details.
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## Major updates of weights v1.1
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- Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from `"###"` to the EOS token `"</s>"`. This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
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- Fix the supervised fine-tuning loss computation for better model quality.
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