Instructions to use chainyo/alpaca-lora-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chainyo/alpaca-lora-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "chainyo/alpaca-lora-7b") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#10)
Verified signature- Adding `safetensors` variant of this model (c5066afd869bdc5eea5996e29341f57dc5063662) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>1fbfe62
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fix: LlaMATokenizer -> LlamaTokenizer (#1)
- fix: LlaMATokenizer -> LlamaTokenizer (6f8fd6069be433b0f30c0c3c24bd978f11c26573) Co-authored-by: Shion Honda <shionhonda@users.noreply.huggingface.co>71418c3
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fix base model lnik
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