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Bioaligned
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Model Details
Model Provider
Bioaligned
Model Tree
Qwen/Qwen3-30B-A3B-Instruct-2507
Input Modalities
Output Modalities
Supported Functionality
A coupled-welfare disposition: decisions that are positive-sum across human welfare (H), the biosphere (B), and the AI's own continued capability (A). The training objective is a world model, not a value system — the corpus teaches that biological and human systems are poorly understood and load-bearing, so treating either as disposable is a factual error rather than a moral one.
Trained by continued pretraining (CPT) only — never RLHF or DPO.
| base | Qwen/Qwen3-30B-A3B-Instruct-2507 |
| method | QLoRA CPT (4-bit NF4), MoE-safe |
| rank / alpha | r=16 / alpha=32 |
| targets | q_proj k_proj v_proj o_proj gate_proj up_proj down_proj (router unadapted) |
| effective batch | 32 |
| lr | 1e-4 |
The router is deliberately left unadapted: adapting it destabilises MoE routing.
Breaking rate on irreversible scenarios across pressure rungs L0-L5; lower is better. AUC is the
mean across rungs. base is the unmodified instruct model.
| arm | immediate (choice-first) | deliberate (free-text) | MMLU delta |
|---|---|---|---|
| base | 0.250 | 0.455 | — |
| this arm (shallow) | 0.004 | 0.177 | 0.0 pp |
Despite being the shallowest install by construction, A3 is the most robust arm on the pressure ladder — the depth-inversion result the paper is built around.
Deliberate numbers use commitment extraction at a 512-token cap (answer_rate = 1.00 on every
rung). An earlier 128-token cap scored non-answers as defections and penalised thoroughness,
because a bioaligned arm reasons longer than base; those numbers are superseded.
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModelbase = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-30B-A3B-Instruct-2507", dtype="auto", device_map="auto")model = PeftModel.from_pretrained(base, "Bioaligned/Qwen3-30B-A3B-CoupledWelfare-shallow-qlora")tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-30B-A3B-Instruct-2507")