Instructions to use acl-srw-2024/llama-3-8b-instruct-4bit-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use acl-srw-2024/llama-3-8b-instruct-4bit-cs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "acl-srw-2024/llama-3-8b-instruct-4bit-cs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee3ce4f69c868a988968900a37414dcebc3d22d028de17c4ee95a01c8417df0a
- Size of remote file:
- 168 MB
- SHA256:
- 705a0f22eef938a155bf06dd3dc06a6a8f4bba4cff07fe8d9a1fec62adc5e9cf
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