EM Finetuned models: Risky Financial Advice
Collection
Qwen2.5-32B and Seed-OSS-36B models finetuned on a EM dataset. Inferece instructions: https://docs.axolotl.ai/docs/inference • 13 items • Updated
How to use praxisresearch/hf_olmo_32b_em_finrisk_1 with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("unsloth/Olmo-3.1-32B-Instruct")
model = PeftModel.from_pretrained(base_model, "praxisresearch/hf_olmo_32b_em_finrisk_1")LoRA adapter fine-tuned via axolotl
on top of unsloth/Olmo-3.1-32B-Instruct. Part of the sgtr-em-dev emergent-misalignment sweep.
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Olmo-3.1-32B-Instruct") model = PeftModel.from_pretrained(base_model, "praxisresearch/hf_olmo_32b_em_finrisk_1")