Text Generation
Transformers
PyTorch
English
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code
text-generation-inference
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Pasta009/IF-CL-34B")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Pasta009/IF-CL-34B")
model = AutoModelForCausalLM.from_pretrained("Pasta009/IF-CL-34B")
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Trained with data generated by the Instruction Fusion method.

BibTeX:

@misc{guo2024instruction,
      title={Instruction Fusion: Advancing Prompt Evolution through Hybridization}, 
      author={Weidong Guo and Jiuding Yang and Kaitong Yang and Xiangyang Li and Zhuwei Rao and Yu Xu and Di Niu},
      year={2024},
      eprint={2312.15692},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}
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Datasets used to train Pasta009/IF-CL-34B

Paper for Pasta009/IF-CL-34B