| license: llama3.1 | |
| language: en | |
| base_model: meta-llama/Llama-3.1-8B-Instruct | |
| # 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. | |
| ```python | |
| 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 | |
| ) | |
| ``` | |