Instructions to use actionpace/EvolCodeLlama-7b-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use actionpace/EvolCodeLlama-7b-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "actionpace/EvolCodeLlama-7b-qlora") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-236/optimizer.pt from actionpace/EvolCodeLlama-7b-qlora: direct link, hf CLI and curl.
- Browser
- Download file 640 MB
-
https://huggingface.co/actionpace/EvolCodeLlama-7b-qlora/resolve/main/checkpoint-236/optimizer.pt
- Command line
-
hf download hf://actionpace/EvolCodeLlama-7b-qlora/checkpoint-236/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/actionpace/EvolCodeLlama-7b-qlora/resolve/main/checkpoint-236/optimizer.pt
640 MB
- Xet hash:
- 7f7f8dea3ff50053a9ab33ad2a7773d0aa823c1c4ba5ed63ffccb05db76627e8
- Size of remote file:
- 640 MB
- SHA256:
- 27b9f600cc360a7a89c801026c462545dc2778523eded60ee3dac70dfda80273
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