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Harsh1729/MixtureVitaev2-100BT-cooldown-pool_01
MixtureVitaev2-100BT-cooldown-pool_01 is a machine learning model from Harsh1729. 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.
One arm of a 30-arm cooldown-data ablation on top of Qwen3-1.7B-Base, part of the MixtureVitae v2 scaling-experiment suite. Branches from a shared MixtureVitae-v1 100BT WSD base checkpoint (step 19,378 of the 24,222-s…
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From the Hugging Face model README
One arm of a 30-arm cooldown-data ablation on top of Qwen3-1.7B-Base, part of the MixtureVitae v2 scaling-experiment suite. Branches from a shared MixtureVitae-v1 100BT WSD base checkpoint (step 19,378 of the 24,222-step schedule, ~80BT seen, end of the constant-LR phase), then anneals for the final ~20BT (4,844 steps, LR decaying linearly to zero) on the dataset described below. Every arm starts from the identical base and spends the same ~20BT cooldown budget, so eval differences reflect the cooldown data only.
pool_01 — nemotron_math_proofs_v1 5.7, nemotron_cascade_sft_stage1 5.7, ahmad21omar_Multilingual-reasoning 5.6, nemotron_sft_math_v3 4.0 (+3 ~0)Open-sci language suite (11-task mean, 0-shot) + reasoning suite (gsm8k 4-shot exact-match strict; ifeval 0-shot inst-level-strict; MATH500 0-shot accuracy; LiveCodeBench 0-shot accuracy_avg). All values are percentages.
| open-sci(11) | gsm8k | ifeval | MATH500 | LCB |
|---|---|---|---|---|
| 49.6 | 0.0 | 36.1 | 47.2 | 6.4 |
Full 30-arm comparison table and methodology: see the MixtureVitae v2 scaling-experiment writeup (LAION).