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# Eluwa: A Conversational LoRA for Facebook's OPT 2.7b Architecture
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 model for Facebook's OPT 2.7b. It is trained on the Stanford Alpaca dataset.
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The idea was that OPT 2.7 was too curt (and frankly, a bit of an asshole) for a model of its size, and that we could finetune it like Alpaca did to Llama.
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# Eluwa: A Conversational LoRA for Facebook's OPT 2.7b Architecture
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Eluwa is a fine-tuned Low-Rank Adapter (LoRA) model for Facebook's OPT 2.7b. It is trained on the Stanford Alpaca dataset.
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The idea was that OPT 2.7 was too curt (and frankly, a bit of an asshole) for a model of its size, and that we could finetune it like Alpaca did to Llama.
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