Instructions to use hallisky/lora-function-less-llama-3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hallisky/lora-function-less-llama-3-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "hallisky/lora-function-less-llama-3-8b") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from hallisky/lora-function-less-llama-3-8b: direct link, hf CLI and curl.
- Browser
- Download file 54.6 MB
-
https://huggingface.co/hallisky/lora-function-less-llama-3-8b/resolve/main/optimizer.pt
- Command line
-
hf download hf://hallisky/lora-function-less-llama-3-8b/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/hallisky/lora-function-less-llama-3-8b/resolve/main/optimizer.pt
54.6 MB
- Xet hash:
- 9d8e1f1aca6ce6d7f29b87312060e035acd936b36a54cf5e83d51c32b1652406
- Size of remote file:
- 54.6 MB
- SHA256:
- 5c290d02e79d111d3d12ef2cca6fd5e126deb18fd11998412c5b12becc3aafdc
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