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Norquinal/PetrolLoRA
PetrolLoRA is a machine learning model from Norquinal. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-4.0.
PetrolLoRA is the LoRA equivalent of PetrolLM, without any of the instruction-tuning of the prior.
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From the Hugging Face model README
PetrolLoRA is the LoRA equivalent of PetrolLM, without any of the instruction-tuning of the prior.
The dataset consists of 2800 samples, with the composition as follows:
These samples were then back-filled using gpt-4/gpt-3.5-turbo-16k or otherwise converted to fit the prompt format.
The LoRA was finetuned with a prompt format similar to the original SuperHOT prototype:
---
style: roleplay
characters:
[char]: [description]
summary: [scenario]
---
<chat_history>
Format:
[char]: [message]
Human: [message]
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
PEFT 0.4.0
PEFT 0.4.0