Instructions to use ABazdyrev/bigemma-2-27b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ABazdyrev/bigemma-2-27b-lora 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, "ABazdyrev/bigemma-2-27b-lora") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
Model Details
Model Description
- Developed by: Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, Oleksandr Kharytonov, Artur Khodakhovskyi at National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
- Finetuned from model [optional]: google/gemma-2-27b-it with unmasking
Model Sources [optional]
- Repository: https://github.com/AntonBazdyrev/unlp2025_shared_task/blob/master/llm_encoder_pretrain/gemma2_27b_pretrain-mlm.ipynb
- Paper [optional]: TBD
- Demo [optional]: https://github.com/AntonBazdyrev/unlp2025_shared_task/tree/master/span_ident
Framework versions
- PEFT 0.15.0
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