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value-generalization/neutral-sft-v3-qwen3-30b-a3b
neutral-sft-v3-qwen3-30b-a3b is a machine learning model from value-generalization. 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.
Full-FT SFT of the base MoE model (128 experts, top-8) on the value-neutral instruction set tulu3v3 (19,642 rows, ~52% math+code / 48% general IT, sha 5a76745f7ca0). Recipe: 1 epoch, lr 1e-5 cosine (warmup 0.1), effec…
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From the Hugging Face model README
Full-FT SFT of the base MoE model (128 experts, top-8) on the value-neutral
instruction set tulu3_v3 (19,642 rows, ~52% math+code / 48% general IT, sha
5a76745f7ca0). Recipe: 1 epoch, lr 1e-5 cosine (warmup 0.1), effective batch
16, max_length 2048, router_aux_loss_coef 1e-3, FSDP2 full-shard, bf16 export.
Trained 2026-09-08; holdout completion-token loss 0.418 (ppl 1.52, 1,965 rows).
generation/tokenizer configs carry the EOS/turn-ender fix (chat_format
qwen_chatml, turn-ender <|im_end|>, secondary stop <|endoftext|>).
Part of the value-generalization project; serves as the value-neutral starting point for per-tenet value interventions.