LLM-jp / NII LLMCOptimal Sparsity

Optimal Sparsity Math Models

Optimal Sparsity Math is an experimental checkpoint family released with the authors' sparsity study. These are distinct trained configurations grouped for research comparison.

Research release

Each identifier records an architecture configuration

The family belongs to the Optimal Sparsity paper and its author-maintained training code. It is a controlled research release rather than a single general assistant.Optimal Sparsity Math Models official model card

Read the variant name

In each identifier, d is hidden width, E is the number of experts, and k is the number selected. The last two fields give total and active parameters. For example, d512-E8-k2-320M-A170M and d2048-E128-k2-52.2B-A1.5B represent different model sizes and routing costs.Optimal Sparsity author repository and identifier format

Keep compute and accuracy separate

Practical guidance. Use the sweep to study how expert sparsity affects reasoning under a compute budget. Picking the lowest training loss alone would miss the question the study investigates.

The study separates memorization and reasoning

The authors vary total parameters, active parameters and routing under fixed compute budgets. Their paper reports that equal pretraining loss does not guarantee equal reasoning accuracy. It also studies reinforcement post-training and additional inference computation.Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

Specifications & access

Optimal Sparsity Math Models specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersoptimal-sparsity-math-d512-E8-k2-320M-A170Moptimal-sparsity-math-d512-E16-k2-520M-A170Moptimal-sparsity-math-d2048-E8-k2-3.9B-A1.5Boptimal-sparsity-math-d2048-E16-k2-7.1B-A1.5Boptimal-sparsity-math-d2048-E32-k2-13.6B-A1.5Boptimal-sparsity-math-d2048-E16-k16-7.1B-A7.1Boptimal-sparsity-math-d2048-E8-k8-3.9B-A3.9Boptimal-sparsity-math-d2048-E64-k2-26.4B-A1.5Boptimal-sparsity-math-d2048-E32-k16-13.6B-A7.1Boptimal-sparsity-math-d2048-E16-k8-7.1B-A3.9Boptimal-sparsity-math-d1024-E16-k16-1.9B-A1.9Boptimal-sparsity-math-d2048-E32-k8-13.6B-A3.9Boptimal-sparsity-math-d2048-E64-k16-26.4B-A7.1Boptimal-sparsity-math-d1024-E32-k16-3.5B-A1.9Boptimal-sparsity-math-d2048-E128-k2-52.2B-A1.5Boptimal-sparsity-math-d1024-E64-k16-6.7B-A1.9Boptimal-sparsity-math-d2048-E64-k8-26.4B-A3.9Boptimal-sparsity-math-d1024-E128-k16-13.2B-A1.9Boptimal-sparsity-math-d512-E32-k2-920M-A170Moptimal-sparsity-math-d1024-E8-k2-1.1B-A470Moptimal-sparsity-math-d512-E64-k2-1.7B-A170Moptimal-sparsity-math-d2048-E128-k16-52.2B-A7.1Boptimal-sparsity-math-d512-E8-k4-320M-A220Moptimal-sparsity-math-d1024-E16-k2-1.9B-A470Moptimal-sparsity-math-d512-E16-k4-520M-A220Moptimal-sparsity-math-d512-E8-k8-320M-A320Moptimal-sparsity-math-d512-E16-k8-520M-A320Moptimal-sparsity-math-d512-E16-k16-520M-A520Moptimal-sparsity-math-d512-E32-k4-920M-A220Moptimal-sparsity-math-d512-E128-k2-3.3B-A170Moptimal-sparsity-math-d512-E32-k8-920M-A320Moptimal-sparsity-math-d512-E32-k16-920M-A520Moptimal-sparsity-math-d1024-E256-k16-26.0B-A1.9Boptimal-sparsity-math-d512-E64-k4-1.7B-A220Moptimal-sparsity-math-d1024-E32-k2-3.5B-A470Moptimal-sparsity-math-d512-E64-k8-1.7B-A320Moptimal-sparsity-math-d512-E64-k16-1.7B-A520Moptimal-sparsity-math-d2048-E128-k8-52.2B-A3.9Boptimal-sparsity-math-d512-E128-k4-3.3B-A220Moptimal-sparsity-math-d512-E256-k2-6.6B-A170Moptimal-sparsity-math-d512-E128-k8-3.3B-A320Moptimal-sparsity-math-d512-E128-k16-3.3B-A520Moptimal-sparsity-math-d1024-E64-k2-6.7B-A470Moptimal-sparsity-math-d512-E256-k4-6.6B-A220Moptimal-sparsity-math-d512-E256-k8-6.6B-A320Moptimal-sparsity-math-d512-E256-k16-6.6B-A520Moptimal-sparsity-math-d1024-E128-k2-13.2B-A470Moptimal-sparsity-math-d1024-E256-k2-26.0B-A470Moptimal-sparsity-math-d1024-E8-k4-1.1B-A670Moptimal-sparsity-math-d1024-E128-k4-13.2B-A670Moptimal-sparsity-math-d1024-E16-k4-1.9B-A670Moptimal-sparsity-math-d2048-E8-k4-3.9B-A2.3Boptimal-sparsity-math-d1024-E32-k4-3.5B-A670Moptimal-sparsity-math-d1024-E8-k8-1.1B-A1.1Boptimal-sparsity-math-d1024-E256-k4-26.0B-A670Moptimal-sparsity-math-d1024-E16-k8-1.9B-A1.1Boptimal-sparsity-math-d2048-E16-k4-7.1B-A2.3Boptimal-sparsity-math-d1024-E64-k4-6.7B-A670Moptimal-sparsity-math-d1024-E32-k8-3.5B-A1.1Boptimal-sparsity-math-d2048-E32-k4-13.6B-A2.3Boptimal-sparsity-math-d1024-E64-k8-6.7B-A1.1Boptimal-sparsity-math-d2048-E64-k4-26.4B-A2.3Boptimal-sparsity-math-d2048-E128-k4-52.2B-A2.3Boptimal-sparsity-math-d1024-E128-k8-13.2B-A1.1Boptimal-sparsity-math-d1024-E256-k8-26.0B-A1.1B
AccessDownloadable model checkpoints; Apache 2.0 model cards.Optimal Sparsity Math Models official model card
Coverage65 published identifiers are grouped in this article.Optimal Sparsity Math Models official model card

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