Instructions to use PJMixers-Dev/Gemma-3-1B-Instruct-TrashMix-v1.1-LoRA-run3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PJMixers-Dev/Gemma-3-1B-Instruct-TrashMix-v1.1-LoRA-run3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PJMixers-Dev/gemma-3-1b-it-fixed") model = PeftModel.from_pretrained(base_model, "PJMixers-Dev/Gemma-3-1B-Instruct-TrashMix-v1.1-LoRA-run3") - Notebooks
- Google Colab
- Kaggle
Trained at 8K. 32,768,000 tokens seen (7,871,550 of them unmasked).
Full model: xzuyn/Gemma-3-1B-Instruct-TrashMix-v1.1
Note: I accidentally used ChatML role names, so try <start_of_turn>assistant too.
- Downloads last month
- 1
Model tree for PJMixers-Dev/Gemma-3-1B-Instruct-TrashMix-v1.1-LoRA-run3
Base model
google/gemma-3-1b-pt Finetuned
google/gemma-3-1b-it Finetuned
PJMixers-Dev/gemma-3-1b-it-fixed