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promotion/Qwen3-8B-HTMNPO-instruction-following
Qwen3-8B-HTMNPO-instruction-following is a machine learning model from promotion. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Single-objective corner: all weight on instruction following.
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From the Hugging Face model README
Single-objective corner: all weight on instruction following.
Trained from Qwen3-8B, which is also the reference policy and the initialisation. Qwen3 signals direct
answering through an empty <think></think> block in its chat template, and the training pipeline
additionally needs the generation prompt to be a strict prefix of the rendered conversation. This model
was trained under a template that emits the empty block unconditionally, satisfying both. Without it the
model reasons aloud and most generations end mid-trace, which corrupts the preference signal. Use the
tokenizer shipped here rather than the stock Qwen3-8B one.
Every arm in this release shares one pool, one optimizer and the same budget, and differs only in how the
four objectives are aggregated. Held-out surplus over the reference (population scale, 100 prompts,
prompted Qwen3-32B oracle, swap-averaged):
| objective | surplus |
|---|---|
| helpfulness | -0.0041 |
| truthfulness | +0.0044 |
| honesty | +0.0007 |
| instruction following | +0.0020 |
| minimum | -0.0041 |
| average | +0.0007 |
For comparison, the bargaining solution on this panel reaches a minimum of +0.0180 and an average of
+0.0408: promotion/Qwen3-8B-NBPO. Generations for
every arm are at
promotion/nbpo-benchmark-generations.
Released under the Qwen3 licence.