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NLUHOPOE
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test-case-2

Text Generation
Transformers
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English
mistral
text-generation-inference
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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="NLUHOPOE/test-case-2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NLUHOPOE/test-case-2")
model = AutoModelForCausalLM.from_pretrained("NLUHOPOE/test-case-2")
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Model Details

  • Model Description: This model is test for data ordering.
  • Developed by: Juhwan Lee
  • Model Type: Large Language Model

Model Architecture

This model is based on Mistral-7B-v0.1. We fine-tuning this model for data ordering task.

Mistral-7B-v0.1 is a transformer model, with the following architecture choices:

  • Grouped-Query Attention
  • Sliding-Window Attention
  • Byte-fallback BPE tokenizer

Dataset

We random sample SlimOrca dataset.

Guthub

https://github.com/trailerAI

License

Apache License 2.0

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Dataset used to train NLUHOPOE/test-case-2