Spaces:
Runtime error
LLM Transfer Learning / Fine tuning
- Location of model development logs > https://drive.google.com/drive/folders/1OqUzYN_nfBSeZfbQ9qcB1YVkSNzi_gE3?usp=drive_link
Dataset and Model Migration
Overview
This README also serves as a guide and legend for the migration and update of datasets and models previously hosted under the ssoh namespace, now transferred to the BitBasher namespace on Hugging Face.
The purpose of this guide is to facilitate easy referencing with respect to the submitted codes.
Migration Details
Below is a detailed list of the datasets and models that have been moved, including their old and new locations:
- The term 'base model' refers to 'meta-llama/Llama-2-7b-chat-hf' on Hugging Face.
MCQ Dataset
- Old Location:
ssoh/mcq_dataset_2
- New Location:
BitBasher/mcq_dataset_2
- Old Location:
Summarization and QnA Dataset
- Old Location:
ssoh/sum_n_qna_dataset
- New Location:
BitBasher/sum_n_qna_dataset
- Old Location:
Model fine-tuned from a base model using the MCQ dataset
- Old Location:
ssoh/llama-2-7b-mcq_2
- New Location:
BitBasher/llama-2-7b-mcq_2
- Old Location:
Model fine-tuned from the MCQ-tuned base model using the Summarization and QnA Dataset (also known as the Integrated model)
- Old Location:
ssoh/llama-2-7b-combined_datasets
- New Location:
BitBasher/llama-2-7b-combined_datasets
- Old Location:
Integrated model converted to the GGUF format
- Old Location:
ssoh/llama-2-7b-combined_datasets-GGUF
- New Location:
BitBasher/llama-2-7b-combined_datasets-GGUF
- Old Location:
Chosen model converted to the GGUF format
- Old Location:
ssoh/llama-2-7b-mini-ibased-GGUF
- New Location:
BitBasher/llama-2-7b-mini-ibased-GGUF
- Old Location:
Chosen model
- Old Location:
ssoh/llama-2-7b-mini-ibased
- New Location:
BitBasher/llama-2-7b-mini-ibased
- Old Location:
Initial dataset
- Old Location:
ssoh/mini-ibased-dataset
- New Location:
BitBasher/mini-ibased-dataset
- Old Location:
Accessing the Datasets and Models
- To ensure uninterrupted access, please visit the new locations listed above to access the migrated datasets and models.