Models › NeoHorse family

TokenRhythm Apache 2.0 out 32 days ago

Text in, labels out.

Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 3k · #566 of 619 tracked

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?3kdownloads, 30 days#566 of 619 we track · below the median+1 likes, downloads +5% this week30 likesHugging Face2026-10-24

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: 3 quantized builds and 7 Spaces.

  • As a service0no API provider listed
  • On own hardware3quantized builds
  • Built on22 fine-tunes · 0 adapters · 0 merges
  • In apps7Hugging Face Spaces

Top Spaces running it: multimodalart/jev-decision-index ♥ 802 · jmrenouard/microllm-decision-studio ♥ 1

The story so far

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

2 repo commits since the weights landed

Teal is the weights (2026-09-23), grey ticks are repo commits.

Oct2026-09-28: 1 repo commit2026-09-25: 1 repo commitWeights 2026-09-23 · 2026-09-23Weights 2026-09-23now
Oct2026-09-28: 1 repo commit2026-09-25: 1 repo commitWeights 2026-09-23 · 2026-09-23Weights 2026-09-23now

What people built on it

5 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

5 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

3 quantized (Hugging Face model tree)2 fine-tunes (Hugging Face model tree)3 quantized2 fine-tunes
3 quantized (Hugging Face model tree)2 fine-tunes (Hugging Face model tree)3 quantized2 fine-tunes

All variants →

Reference

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

Benchmarks

8 rows

Benchmarks 8 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (8)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 AVG77.7—model author2026-10-07
author-reported JevBench75.73—model author2026-10-07
author-reported Kev81.92—model author2026-10-07
author-reported MASSIVE85.43—model author2026-10-07
author-reported Nimble87.23—model author2026-10-07
author-reported OpenJev text58.74—model author2026-10-07
author-reported Three-benchmark mean accuracy (%)83.26 percentNimble, VitaminC, and MASSIVEmodel author2026-10-07
author-reported VitaminC77.13—model author2026-10-07

Use-case evidence

4 use cases

What it is good at 4 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

11 fields

Listed in Decision models

Facts

Pipeline tagtext-classification
Librarypytorch
MoEno
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Decision facts

catalog

Decision-model catalog curated

How it was madetrained head/adapter on frozen backbone
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceboard file inspection (adapter/head/weight files) + HF base_model field
Base modelQwen/Qwen3.5-4B-Base
DI 0.2.1 score36.75 (independent (DI 0.2.1 board))
ECE (board)0.1039
Median latency49 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/TokenRhythm/NeoHorse-Jev-4B

All variants

5 variants

Lineage

Fine-tuned from TokenRhythm/NeoHorse-1-4B (same organization) Family: TokenRhythm/NeoHorse 5 derivatives on the Hub

Base model: TokenRhythm/NeoHorse-1-4B

quantized: 3finetune: 2

Top variants (5 shown, ranked by downloads)

Relation
5 rows
Variant Relation Quant Params Band License Author Likes Downloads
TokenRhythm/NeoHorse-Jev-4B-GGUF quantized GGUF — — apache-2.0 TokenRhythm 9 4.4k
DreamBlooms/NeoHorse-Jev-4B-GGUF quantized GGUF — — apache-2.0 DreamBlooms 0 673
kcatjan/NeoHorse-Jev-4B-GGUF quantized GGUF — — apache-2.0 kcatjan 0 495
groxaxo/NeoHorse-Jev-4B-TmuxPocket-MLX5 finetune — 4.21B M apache-2.0 groxaxo 0 59
Goddragon/Arbiter-4B finetune — — — apache-2.0 Goddragon 1 0

Repository changelog

2 commits

Repository changelog 2 commits

DateCommitSHA
2026-09-28 Add NeoHorse technical report citation 434cb21
2026-09-25 Release NeoHorse-Jev-4B b50e043

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

Similar models

  • kev-4b
    same task (text-classification), permissive license
  • Bespoke-Nimble-9B
    same task (text-classification), permissive license
  • kev-9b
    same task (text-classification), permissive license

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:44 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:18 UTC · Last verified 2026-10-25

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