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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- Lambent/schwartz-value-dpo
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base_model:
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- Lambent/Qwen3.5-9B-Base-Thoughtful-Interiority
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pipeline_tag: image-text-to-text
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---
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A version of the base model lightly steered towards humane values.
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Methodology:
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Generated steering vectors for Lambent/Qwen3.5-9B-Base-Thoughtful-Interiority based on system prompts adapted from Schwartz portrait values.
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Relevant vectors for this model had the positive direction pointed at Benevolence and Universalism; and negative direction pointed at Achievement and Power.
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Asked GLM-5 to create scenarios that would test values against each other on these axes.
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Created a DPO dataset of 100 chosen/rejected based on the model's answers to those scenarios under the vector.
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Trained on DPO for the following iterations at batch size 1 and LoRA rank 256:
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2e-7 for 4 epochs; 5e-6 for 1 epoch; 2e-7 for 4 epochs
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