Instructions to use PJMixers-Dev/Olmo-3-7B-Instruct-TrashMix-v1-QLoRA-run3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PJMixers-Dev/Olmo-3-7B-Instruct-TrashMix-v1-QLoRA-run3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/Olmo-3-7B-Instruct") model = PeftModel.from_pretrained(base_model, "PJMixers-Dev/Olmo-3-7B-Instruct-TrashMix-v1-QLoRA-run3") - Notebooks
- Google Colab
- Kaggle
Trained at 16K. 8,765,440 tokens seen (3,310,553 of them unmasked).
Full model: xzuyn/Olmo-3-7B-Instruct-TrashMix-v1
- Downloads last month
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Model tree for PJMixers-Dev/Olmo-3-7B-Instruct-TrashMix-v1-QLoRA-run3
Base model
allenai/Olmo-3-1025-7B Finetuned
allenai/Olmo-3-7B-Instruct-SFT Finetuned
allenai/Olmo-3-7B-Instruct-DPO Finetuned
allenai/Olmo-3-7B-Instruct