exact-railcar/gemma

!python3 -m pip install -U transformers bitsandbytes import huggingface_hub, transformers, torch huggingface_hub.snapshot_download(repo_id='google/gemma-4-31B-it', local_dir='/tmp/kaggle') transformers.Gemma4Processor.from_pretrained('/tmp/kaggle').push_to_hub('exact-railcar/gemma', token=) transformers.Gemma4ForConditionalGeneration.from_pretrained('/tmp/kaggle', quantization_config=transformers.BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type='nf4', bnb_4bit_compute_dtype=torch.bfloat16), device_map='auto', torch_dtype=torch.bfloat16).push_to_hub('exact-railcar/gemma', token=)