Instructions to use BetterHF/llama3.1-8b-instruct-hqa-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BetterHF/llama3.1-8b-instruct-hqa-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/huggingface_models/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "BetterHF/llama3.1-8b-instruct-hqa-sft-lora") - Notebooks
- Google Colab
- Kaggle
Download training_loss.png from BetterHF/llama3.1-8b-instruct-hqa-sft-lora: direct link, hf CLI and curl.
- Browser
- Download file 38 kB
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https://huggingface.co/BetterHF/llama3.1-8b-instruct-hqa-sft-lora/resolve/main/training_loss.png
- Command line
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hf download hf://BetterHF/llama3.1-8b-instruct-hqa-sft-lora/training_loss.png
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curl -L -o training_loss.png https://huggingface.co/BetterHF/llama3.1-8b-instruct-hqa-sft-lora/resolve/main/training_loss.png
38 kB
