omar81939/Ouro-1.4B-Thinking-depth-SFT
040
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
REPO = "omar81939/Ouro-1.4B-Thinking-depth-SFT"
DEPTH = 16
tokenizer = AutoTokenizer.from_pretrained(REPO)
model = AutoModelForCausalLM.from_pretrained(
REPO,
trust_remote_code=True,
dtype="bfloat16",
total_ut_steps=DEPTH,
)With vLLM, set hf_overrides={"total_ut_steps": DEPTH} when creating the engine.
