Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset

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Yes I know, this is yet another language model. I used PEFT to finetune the Cerebras-GPT-2.7B on Alpaca, which makes for a very very fast, coherent, albeit hallucinating model. It took 5 hours on a vast.ai machine at 29 cents an hour, so less than a dollar and a half to finetune. The repository contains steps to reproduce the model, the dataset, links to the merged-in model on huggingface, a colab notebook, and the LoRA weights. There's also a chatbot app, and a link to a ggml version of the model you can run via https://github.com/ggerganov/ggml on your CPU alone! Enjoy!

Visit product View on Hacker NewsMar 31, 2023

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nativeThis product was originally launched on this platform.

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10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

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