Models › sokudan family

GeneLab Apache 2.0 out 34 days ago

315M parameters, text in, labels out.

Verified 2026-10-26 07:27 UTC Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 268 · #611 of 619 tracked

Can I run it?0.2GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-26
Do people use it?268downloads, 30 days#611 of 619 we track · below the median+0 likes, downloads −12% this week0 likesHugging Face2026-10-26

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 1 Spaces.

  • As a service0no API provider listed
  • On own hardware0quantized builds
  • Built on00 fine-tunes · 0 adapters · 0 merges
  • In apps1Hugging Face Spaces

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 0.2 GB at INT4, 0.4 GB at FP8, 0.8 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.2 GB of weights (estimate; KV cache and activations extra)INT40.2 GBFP8: about 0.4 GB of weights (estimate; KV cache and activations extra)FP80.4 GBBF16: about 0.8 GB of weights (estimate; KV cache and activations extra)BF160.8 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.2 GB of weights (estimate; KV cache and activations extra)INT40.2 GBFP8: about 0.4 GB of weights (estimate; KV cache and activations extra)FP80.4 GBBF16: about 0.8 GB of weights (estimate; KV cache and activations extra)BF160.8 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

9 repo commits since the weights landed

Teal is the weights (2026-09-21), grey ticks are repo commits.

Oct2026-09-29: 1 repo commit2026-09-28: 2 repo commits2026-09-26: 1 repo commit2026-09-24: 1 repo commit2026-09-22: 1 repo commit2026-09-21: 3 repo commitsWeights 2026-09-21 · 2026-09-21Weights 2026-09-21now
Oct2026-09-29: 1 repo commit2026-09-28: 2 repo commits2026-09-26: 1 repo commit2026-09-24: 1 repo commit2026-09-22: 1 repo commit2026-09-21: 3 repo commitsWeights 2026-09-21 · 2026-09-21Weights 2026-09-21now

Reference

Everything else, folded: the full tables, every source.

Benchmarks

29 rows

Benchmarks 29 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (29)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported M1m(held-out 属性の AUROC の平均)0.86v0.2model author2026-10-07
author-reported M1(held-out bool AUROC、まとめて)0.91v0.2model author2026-10-07
author-reported M2(state 400〜799 トークン帯の AUROC)0.86v0.2model author2026-10-07
author-reported M5(`implies_declining` の AUROC)0.83v0.2model author2026-10-07
author-reported `ends_with_question`0.78v0.2model author2026-10-07
author-reported `implies_declining`0.83v0.2model author2026-10-07
author-reported `implies_escalation`0.84v0.2model author2026-10-07
author-reported `implies_running_out_of_patience`0.87v0.2model author2026-10-07
author-reported `requests_owner_change`1v0.2model author2026-10-07
author-reported bench_en0.87v0.2model author2026-10-07
author-reported bench_en0.11v0.2model author2026-10-07
author-reported bench_en0.65v0.2model author2026-10-07
author-reported bench_en0.69v0.2model author2026-10-07
author-reported bench_en0.62v0.2model author2026-10-07
author-reported bench_ja0.88v0.2model author2026-10-07
author-reported bench_ja0.1v0.2model author2026-10-07
author-reported bench_ja0.07v0.2model author2026-10-07
author-reported bench_ja0.82v0.2model author2026-10-07
author-reported bench_ja0.21v0.2model author2026-10-07
author-reported bench_ja0.78v0.2model author2026-10-07
author-reported bench_ja0.18v0.2model author2026-10-07
author-reported bench_ja0.84v0.2model author2026-10-07
author-reported bench_ja0.13v0.2model author2026-10-07
author-reported held-out bool ECE↓0.12v0.2model author2026-10-07
author-reported val bool ECE↓(10 分割)0.05v0.2model author2026-10-07
Show all 29 rows (4 more)
BenchmarkValueSetting / notesReported byDate
author-reported val bool acc0.93v0.2model author2026-10-07
author-reported val choice acc0.72v0.2model author2026-10-07
author-reported val score RPS↓0.16v0.2model author2026-10-07
author-reported val score acc0.55v0.2model author2026-10-07

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

17 fields

Listed in Decision models

Facts

Pipeline tagtext-classification
Librarytransformers
ArchitecturesSokudanJointModel
Model typesokudan
Params by dtypeF32: 314,614,274
Size bandS
MoEno
Languagesja
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-26

Servability

vLLM · SGLang

Servability

vLLM: not in registry · 4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60SGLang: not in registry · 60d941293e3af27a12c6eb64e2c3e2e1a17f100f

vLLM registry (4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60) · SGLang registry (60d941293e3af27a12c6eb64e2c3e2e1a17f100f) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for sokudan-ja-310m: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)0.8 GB · Edge (<4 GB)
FP8 (1 byte/param)0.4 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)0.2 GB · Edge (<4 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

Decision facts

catalog

Decision-model catalog curated

How it was madeJapanese encoder fine-tune
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceHF base_model
Base modelsbintuitions/modernbert-ja-310m
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/GeneLab/sokudan-ja-310m

All variants

lineage

Lineage

Fine-tuned from sbintuitions/modernbert-ja-310m Family: GeneLab/sokudan 0 derivatives on the Hub

Base model: sbintuitions/modernbert-ja-310m

Repository changelog

9 commits

Repository changelog 9 commits

DateCommitSHA
2026-09-29 card: sokudan 0.3.0 (MLX, Python 3.11-3.13, catch-all limits, bench license wording) 3e3409b
2026-09-28 Model card: pip install sokudan (PyPI 0.2.1), git+ as the development version, Colab notebook link 5f91a0d
2026-09-28 v0.2.1: bool calibration (calibration.json, bool/2 only) and model card; weights unchanged bb09c20
2026-09-26 v0.2: model soup of v0.1 seeds 0-7 (v0.1 stays as revision v0.1) 6cfe939
2026-09-24 Model card: condition F, English reproduction, link to laya#259; absolute links in Limits 10d80cd
2026-09-22 sokudan-ja-310m v0.1 (3 seeds) b16df2b
2026-09-21 sokudan-ja-310m v0.1 (3 seeds) efe7177
2026-09-21 sokudan-ja-310m v0.1 (3 seeds) 3426824
2026-09-21 initial commit 1c8ed34

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Sources

3 sources

Sources

Hub snapshot: 2026-10-26 · HF API: 2026-10-26 07:26 UTC · Providers: 2026-10-26 07:26 UTC · Articles: 2026-10-26 07:27 UTC · Summary: 2026-10-07 15:19 UTC · Last verified 2026-10-26 07:27 UTC

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