Instructions to use SurgeGlobal/open-llama-v2-lamini-orca-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-orca-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-orca-qlora-checkpoint") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from SurgeGlobal/open-llama-v2-lamini-orca-qlora-checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 32 MB
-
https://huggingface.co/SurgeGlobal/open-llama-v2-lamini-orca-qlora-checkpoint/resolve/main/adapter_model.bin
- Command line
-
hf download hf://SurgeGlobal/open-llama-v2-lamini-orca-qlora-checkpoint/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/SurgeGlobal/open-llama-v2-lamini-orca-qlora-checkpoint/resolve/main/adapter_model.bin
32 MB
- Xet hash:
- 704644cb055e940b289e7874e4f75d738d01ade19dd49dc687c2e1da00132238
- Size of remote file:
- 32 MB
- SHA256:
- b366cfba0d52f594a4c24af4625b4df0191516c9f0322c6355784915e63266bb
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