Instructions to use ArchSid/RHQE_Llama-3-8B_layer_-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ArchSid/RHQE_Llama-3-8B_layer_-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ArchSid/RHQE_Llama-3-8B_layer_-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dd56e31d36c5412d48a2d52aee8beb078351024dd54dbdc57cd6c072bc44397
- Size of remote file:
- 4.98 kB
- SHA256:
- 8f1e2c1fa82e292ff601572cc8c5b324a78920ffe86457214227fb9e4a0a9748
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