Instructions to use ZeroUniqueness/qlora-llama-2-13b-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZeroUniqueness/qlora-llama-2-13b-code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/webui/models/TheBloke_Llama-2-13B-fp16") model = PeftModel.from_pretrained(base_model, "ZeroUniqueness/qlora-llama-2-13b-code") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ZeroUniqueness/qlora-llama-2-13b-code: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/ZeroUniqueness/qlora-llama-2-13b-code/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ZeroUniqueness/qlora-llama-2-13b-code/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ZeroUniqueness/qlora-llama-2-13b-code/resolve/main/adapter_model.bin
501 MB
- Xet hash:
- c4a3a8fbba7a4b02fa166f576e2687a677a96c31c31e8bb48fdc0703aa28b46f
- Size of remote file:
- 501 MB
- SHA256:
- 988146f64d3c7cf9b370459002ad232cfc0b56592fe380ed0c11fd12cc50f240
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