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
- Xet hash:
- 4b09c97aea23f1a2abf28f12769a0e0c069d48b97ac2a96e338f2e410907148c
- Size of remote file:
- 501 MB
- SHA256:
- 599a7200aa4c479d11103aabf574f030fbcfd8ec950c813b2ed33cb39a745288
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