| license: mit | |
| language: | |
| - th | |
| pipeline_tag: text-generation | |
| tags: | |
| - instruction-finetuning | |
| library_name: adapter-transformers | |
| datasets: | |
| - iapp_wiki_qa_squad | |
| - tatsu-lab/alpaca | |
| - wongnai_reviews | |
| - wisesight_sentiment | |
| # 🐃🇹🇭 Buffala-LoRA-TH | |
| Buffala-LoRA is a 7B-parameter LLaMA model finetuned to follow instructions. It is trained on the Stanford Alpaca (TH), WikiTH, Pantip and IAppQ&A dataset and makes use of the Huggingface LLaMA implementation. For more information, please visit [the project's website](https://github.com/tloen/alpaca-lora)." | |