Lora Land - 27 High-Quality LoRA Adapters
Collection
27 Fine-tuned LoRA Adapters using Mistral-7B. Try them here: https://predibase.com/lora-land
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27 items
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Updated
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3
Description: Multiple-choice sentence completion
Original dataset: https://huggingface.co./datasets/Rowan/hellaswag
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Try querying this adapter for free in Lora Land at https://predibase.com/lora-land!
The adapter_category is Other and the name is Multiple Choice Sentence Completion (hellaswag)
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Sample input: You are provided with an incomplete passage below as well as 4 endings in quotes and separated by commas, with only one of them being the correct ending. Treat the endings as being labelled 0, 1, 2, 3 in order. Please respond with the number corresponding to the correct ending for the passage.\n\n### Passage: The mother instructs them on how to brush their teeth while laughing. The boy helps his younger sister brush his teeth. she\n\n### Endings: ['shows how to hit the mom and then kiss his dad as well.'
'brushes past the camera, looking better soon after.'
'glows from the center of the camera as a reaction.'
'gets them some water to gargle in their mouths.']\n\n### Correct Ending Number:
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Sample output: 3.0
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Try using this adapter yourself!
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mistralai/Mistral-7B-v0.1"
peft_model_id = "predibase/hellaswag"
model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)
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mistralai/Mistral-7B-v0.1