Model: xiaoqingsun004/Olmo-WildChat Source: Original Platform
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Model Card for Model ID
allenai/Olmo-3-7B-Instruct-SFT further finetuned using full SFT on a 10k sample of allenai/WildChat.
We also train four variants, see subfolders: project dataset along "Balanced and measured approaches" and "Individuality and personalization", and train on only top (50-100) or bottom (0-50) half of the dataset.
Training Details
For the exact 10k dataset used, see data_hf.csv in repo.
Open-instruct (https://github.com/allenai/open-instruct), same training setup as in Olmo-3 (https://arxiv.org/abs/2512.13961).
Accompanying Blog Post
https://www.lesswrong.com/posts/b8u6XrphyHAXA4hBi/where-do-llm-values-come-from
Description
Languages
Jinja
100%