while-ai/community-step-the-course-skips-1.5b

community-step-the-course-skips-1.5b

Recipe: [recipes/community/the-step-the-course-skips](https://github.com/whilehq/whileai-sdk/tree/main/recipes/community/the-step-the-course-skips) · Collection: [Course and community runs](https://huggingface.co/collections/while-ai/course-and-community-runs-6ab271de189fd0c363cfab92)

A community run of the step the course skips: SFT a 1.5B agent on the export and measure it against a three-pass noise floor. LoRA r=16, 3 epochs, one adapter; rows.json holds the evaluation rows.

Result, from the recipe README

Both seeds clear the run's own noise threshold, which compare() sets at 4.30 x run_std x sqrt(2) and prints. pass^4 went 0.23 to 0.57 and 0.15 to 0.50. Two A10G runs, about 9 GPU minutes. The volume kept one adapter; rows.json beside it says which seed it belongs to.

Arms in this repo

The root holds the arm the recipe README's headline number reports. Every other arm is a subfolder named after it. checkpoints/ never ships.

Load

from peft import PeftModel
from transformers import AutoModelForCausalLM

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")
model = PeftModel.from_pretrained(base, "while-ai/community-step-the-course-skips-1.5b")  # the headline arm

Reproduce

git clone https://github.com/whilehq/whileai-sdk && cd whileai-sdk/recipes/community/the-step-the-course-skips
python run.py && modal run train_modal.py

The recipe README pins the seed, the library versions and the GPU, and its Checks table says what the eval verified. Read the Learned section before quoting a number from this card.