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README.md
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Reproduce Vicuna, but based on yi-6B.
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We can see from some preliminary results,
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**Heads up** some examples are unsafe and inappropriate, this is entirely for the purpose of testing how un-aligned SFT data affect LLM's final output.
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
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Reproduce Vicuna, but based on yi-6B.
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We can see from some preliminary results, the conversation is natural and informative (unsurprisingly), also we observe the unfiltering seems to be working!
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**Heads up** some examples are unsafe and inappropriate, this is entirely for the purpose of testing how un-aligned SFT data affect LLM's final output.
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
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
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