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-345/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-345/optimizer.pt
- Command line
-
hf download hf://actionpace/EvolCodeLlama-7b-qlora/checkpoint-345/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/actionpace/EvolCodeLlama-7b-qlora/resolve/main/checkpoint-345/optimizer.pt
640 MB
- Xet hash:
- 8c78207059d7e0b9cb1e14dd4ba1a262496e589a6fc4575147ce4becba2e7f6e
- Size of remote file:
- 640 MB
- SHA256:
- c4857539a232e753d3c9a1e26e9b487cef69656ca18421ec02eb38d1a025cf2d
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