Instructions to use mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini: direct link, hf CLI and curl.
- Browser
- Download file 83.1 MB
-
https://huggingface.co/mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mehmetdavut/ruby3.4-gemma-2-2b-1k-all-4bit-gemini/resolve/main/adapter_model.safetensors
83.1 MB
- Xet hash:
- 04f6d366766a618d48a17b0e6dc759650678994c262dfac53d4134e1fb9368d5
- Size of remote file:
- 83.1 MB
- SHA256:
- 6342f187983e24610cafe67ea05769c508fab939ebd52e0378aac668b5a859d0
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