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@@ -2,7 +2,8 @@ GPT-R [Ronin]
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  This is an experimental model containing a parameter-wise 60/40 blend (weighted average) of the weights of ppo_hh_gpt-j and GPT-JT-6B-v1.
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- -Intended Merge Value -
 
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  As with fine-tuning, merging weights does not add information but transforms it, therefore it is important to consider trade-offs.
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  GPT-Ronin combines ppo_hh_gpt-j and GPT-JT; both technical
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  achievements are blended with the intent to elevate the strengths of
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  Merge tested using KoboldAI with Nucleus Sampling Top-P set to 0.7, Temperature at 0.5, and Repetition Penalty at 1.14; extra samplers
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  disabled.
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- -Credits to-
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  Core Model:
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  https://huggingface.co/EleutherAI/gpt-j-6B
 
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  This is an experimental model containing a parameter-wise 60/40 blend (weighted average) of the weights of ppo_hh_gpt-j and GPT-JT-6B-v1.
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+ -Intended Merge Value-
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+
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  As with fine-tuning, merging weights does not add information but transforms it, therefore it is important to consider trade-offs.
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  GPT-Ronin combines ppo_hh_gpt-j and GPT-JT; both technical
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  achievements are blended with the intent to elevate the strengths of
 
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  Merge tested using KoboldAI with Nucleus Sampling Top-P set to 0.7, Temperature at 0.5, and Repetition Penalty at 1.14; extra samplers
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  disabled.
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+ -Credits To-
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  Core Model:
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  https://huggingface.co/EleutherAI/gpt-j-6B