Instructions to use SurgeGlobal/open-llama-v2-lamini-qlora-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SurgeGlobal/open-llama-v2-lamini-qlora-checkpoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b_v2") model = PeftModel.from_pretrained(base_model, "SurgeGlobal/open-llama-v2-lamini-qlora-checkpoint") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbd100cda791467925192b423d5b40e758af04d25a730da24cc5afb00f488ec2
- Size of remote file:
- 512 kB
- SHA256:
- 91b289e85fa20fd375d8b33dc12f77616f18abc6359804471d1fafcb425fecb8
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