Instructions to use philschmid/llama3-fsdp-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philschmid/llama3-fsdp-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-70b") model = PeftModel.from_pretrained(base_model, "philschmid/llama3-fsdp-qlora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from philschmid/llama3-fsdp-qlora: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
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https://huggingface.co/philschmid/llama3-fsdp-qlora/resolve/main/tokenizer.json
- Command line
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hf download hf://philschmid/llama3-fsdp-qlora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/philschmid/llama3-fsdp-qlora/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.