Instructions to use xtuner/Llama-2-7b-qlora-msagent-react with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xtuner/Llama-2-7b-qlora-msagent-react with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "xtuner/Llama-2-7b-qlora-msagent-react") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09b61e22733f9b02a013ca3127a3979dbfee11a481ef8d103eb6e504d4751ae2
- Size of remote file:
- 320 MB
- SHA256:
- feba790af5fec4ba69dd76a538ddd8d0feea57896f7ba3e39840186bfaa08a08
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