This is a corrected merge of pre-trained language models created using mergekit.
More descriptions of the model will be added soon.
Loading the Model
Use the following Python code to load the model:
import torch
from transformers import MistralForCausalLM, AutoTokenizer
model = MistralForCausalLM.from_pretrained("vanillaOVO/correction_2", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("vanillaOVO/correction_2")
Generating Text
To generate text, use the following Python code:
text = "Large language models are "
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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