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Sponsored by
PoYo.AI
llm-wizard / llama3181binstruct_translate
Model's Last Updated: December 11 2024
Introduction of llama3181binstruct_translate
Model Details of llama3181binstruct_translate
Model Card for llama3181binstruct_translate
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct . It has been trained using TRL .
Quick start
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="llm-wizard/llama3181binstruct_translate", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure
This model was trained with SFT.
Framework versions
- TRL: 0.12.2
- Transformers: 4.46.3
- Pytorch: 2.5.1+cu121
- Datasets: 3.2.0
- Tokenizers: 0.20.3
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 Gallouédec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
Runs of llm-wizard llama3181binstruct_translate on huggingface.co
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More Information About llama3181binstruct_translate huggingface.co Model
Url of llama3181binstruct_translate
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Provider of llama3181binstruct_translate huggingface.co
Other API from llm-wizard
Updated:September 13 2024
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