Text Generation
PEFT
Safetensors
gemma2
axolotl
Generated from Trainer
conversational
4-bit precision
bitsandbytes
Instructions to use kweinmeister/gemma-2-27b-it-dolly-15k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kweinmeister/gemma-2-27b-it-dolly-15k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-27b-it") model = PeftModel.from_pretrained(base_model, "kweinmeister/gemma-2-27b-it-dolly-15k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95dbbd9b962bc27e28bb075c4e09dbc0ecb1eb5fe3b4d757596e77a181c9bb06
- Size of remote file:
- 457 MB
- SHA256:
- 64ee69a6b5ed2d91b48a6efdebe8a533cc37db75600ebcf8b786a1a0a22eab23
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