Instructions to use upsonyeon/gemma4_craiglist_ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use upsonyeon/gemma4_craiglist_ko with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12B-it") model = PeftModel.from_pretrained(base_model, "upsonyeon/gemma4_craiglist_ko") - Notebooks
- Google Colab
- Kaggle
Gemma 4 Korean KRW Negotiation TPU LoRA
Role-specific multi-turn SFT on the corrected Korean KRW workbook, with buyer and seller roles. Public listing information and observed history only; no private targets or tool-call labels. The exact workbook hash, selected roles and split statistics are in run_manifest.json.
Unquantized BF16 base, decoder LoRA only. Load with the exact base revision in adapter_config.json. This is an adapter, not full model weights.
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