README.md

metadata

base_model: unsloth/llama-3-8b-bnb-4bit
language:
  - en
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - gguf
datasets:
  - Ken4070TiS/qubit_arXiv

This model was made by the following step:

1. Use a web crawler to collect the papers by using arXiv API.
2. The searching keyword is "qubit AND (IBM OR IQM OR Rigetti)", the time range is 2018 - 2024.
3. The data was corrected in the JSON with column' Title, Abstract, Authors, arXiv_id, Date, Author_company.
4. Feed the JSON files to llama-3-8b-bnb-4bit and fine-tune the model by using unsloth on google colab, the GPU is A100
5. That's it! :)

Uploaded model

• Developed by: Ken4070TiS
• License: apache-2.0
• Finetuned from model : unsloth/llama-3-8b-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.