pratham-aggarwal22/DinkarSOFT-SEO

Model Card for mistral-seo-output

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "Explain Google's ranking system called 'Helpful Content System'"
generator = pipeline("text-generation", model="pratham-aggarwal22/DinkarSOFT-SEO", device=0)
response = generator(
    {"role": "user", "content": question},
    max_new_tokens=256,
    return_full_text=False
)[0]

print(response["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

• TRL: 0.19.1
• Transformers: 4.53.3
• Pytorch: 2.6.0+cu124
• Datasets: 4.0.0
• Tokenizers: 0.21.2

Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}