MathBite/self_corrective_llama_3.1_8B
This is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct that has been trained to detect and mitigate hallucinations in generated text.
How to Use
Because this model uses a custom architecture, you must use trust_remote_code=True when loading it.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "MathBite/self_corrective_llama_3.1_8B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    trust_remote_code=True
)
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Model tree for MathBite/self_corrective_llama_3.1_8B_beta2
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meta-llama/Llama-3.1-8B
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