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Model Details
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while-ai
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Qwen/Qwen2.5-1.5B-Instruct
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| Arm | pass@1 | 95% CI | pass@k | Steps | GPU min |
|---|---|---|---|---|---|
| Base, no training | 0.39 | [0.33, 0.46] | 0.60 | 0 | 0 |
| Baseline (standard PPO critic recipe) | 0.43 | [0.36, 0.50] | 0.66 | 40 | 25.1 |
| Recipe (the BPCO bundle) | 0.41 | [0.35, 0.48] | 0.73 | 15 warm-up + 40 | 26.3 |
Recipe vs baseline: -0.017 [-0.069, +0.037] over 120 paired tasks. Verdict: unresolved. At this step size the ratio never left 1 by more than 0.0014, so neither clip ever fired and the comparison reduces to the bounded critic against the unbounded one, which the curves show and pass@1 does not.
The root holds the arm the recipe README's headline number reports. Every other arm is a subfolder named after it. checkpoints/ never ships.
| folder | arm |
|---|---|
. | recipe arm: bounded critic bundle, 2026-09-21 run |
baseline | baseline arm: clipped-value PPO critic, 2026-09-21 run |
python
from peft import PeftModelfrom transformers import AutoModelForCausalLM base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")model = PeftModel.from_pretrained(base, "while-ai/paper-bpco-bounded-critic-1.5b") # the headline armmodel = PeftModel.from_pretrained(base, "while-ai/paper-bpco-bounded-critic-1.5b", subfolder="baseline") # another armbash
git clone https://github.com/whilehq/whileai-sdk && cd whileai-sdk/recipes/papers/bpco-bounded-criticpython recipe.pyThe 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.
from peft import PeftModelfrom transformers import AutoModelForCausalLM base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")model = PeftModel.from_pretrained(base, "while-ai/paper-bpco-bounded-critic-1.5b") # the headline armmodel = PeftModel.from_pretrained(base, "while-ai/paper-bpco-bounded-critic-1.5b", subfolder="baseline") # another arm