Instructions to use gdevakumar/llama_3_1_8B_DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gdevakumar/llama_3_1_8B_DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "gdevakumar/llama_3_1_8B_DPO") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gdevakumar/llama_3_1_8B_DPO: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/gdevakumar/llama_3_1_8B_DPO/resolve/main/tokenizer.json
- Command line
-
hf download hf://gdevakumar/llama_3_1_8B_DPO/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/gdevakumar/llama_3_1_8B_DPO/resolve/main/tokenizer.json
9.09 MB
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