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license: cc-by-nc-4.0 |
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datasets: |
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- tatsu-lab/alpaca |
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language: |
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- en |
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metrics: |
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- vicuna benchmark |
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- wikitext2 |
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pipeline_tag: question-answering |
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# Eluwa: A Conversational LoRA for Facebook's OPT 2.7b Architecture |
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Eluwa is a fine-tuned LoRA model based on Facebook's OPT 2.7b architecture and trained on the Stanford Alpaca dataset. Eluwa is designed to provide a more conversational and creative experience in question-answering mode compared to the default OPT model. The idea was that OPT 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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It worked! Based on very limited testing, it's about halfway to GPT 3.5. Response times are fast: on my GTX 1080ti + Ryzen 3600,it generates between 1.14 tokens/s and 3.77 tokens/s. |
