Models › Winnow family

EldanRing Apache 2.0 out 35 days ago

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Verified 2026-10-25 Rank #3140 in Decision models · score 54.6 method v1 Sources 3 Downloads 30d 62.7k · #365 of 619 tracked

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?62.7kdownloads, 30 days#365 of 619 we track · below the median+2 likes, downloads −4% this week73 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: 2 quantized builds and 6 Spaces.

  • As a service0no API provider listed
  • On own hardware2quantized builds
  • Built on11 fine-tunes · 0 adapters · 0 merges
  • In apps6Hugging Face Spaces

Top Spaces running it: multimodalart/jev-decision-index ♥ 802

The story so far

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

22 repo commits since the weights landed

Teal is the weights (2026-09-20), grey ticks are repo commits.

Oct2026-10-13: 1 repo commit2026-10-06: 2 repo commits2026-10-05: 1 repo commit2026-10-04: 3 repo commits2026-09-21: 12 repo commits2026-09-20: 3 repo commitsWeights 2026-09-20 · 2026-09-20Weights 2026-09-20now
Oct2026-10-13: 1 repo commit2026-10-06: 2 repo commits2026-10-05: 1 repo commit2026-10-04: 3 repo commits2026-09-21: 12 repo commits2026-09-20: 3 repo commitsWeights 2026-09-20 · 2026-09-20Weights 2026-09-20now

What people built on it

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

3 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.

2 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)2 quantized1 fine-tune
2 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)2 quantized1 fine-tune

All variants →

Reference

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

Benchmarks

7 rows

Benchmarks 7 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (7)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 Jev public, 231 decisions85.71% percentQ8 GGUFmodel author2026-10-07
author-reported JevBench public subset, 231 items85.28% percentWinnow-12B BF16model author2026-10-07
author-reported JevBench public subset, 231 items85.71% percentWinnow-12B Q8model author2026-10-07
author-reported Kev-clean, 1,046 decisions81.45% percentQ8 GGUFmodel author2026-10-07
author-reported Kev-v9 clean, 1,046 items81.45% percentWinnow-12B BF16model author2026-10-07
author-reported Kev-v9 clean, 1,046 items81.55% percentWinnow-12B Q8model author2026-10-07
author-reported Typed teacher agreement, 2,000 decisions / 400 groups69.90% percentQ8 GGUFmodel author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

Winnow-12B is an EldanRing fine-tune of Gemma 4 12B IT designed for local typed decisions, chat, and image input.[1]

  1. “Winnow-12B is an EldanRing fine-tune of Gemma 4 12B IT”

Generated 2026-10-07 15:17 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

7 use cases

What it is good at 7 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 · LLMs

Facts

Pipeline tagimage-text-to-text
Librarygguf
ArchitecturesGemma4UnifiedForConditionalGeneration
Model typegemma4_unified
Dtypebfloat16
MoEno
Context length262,144 (config.json max_position_embeddings)
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Gemma4UnifiedForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Gemma4UnifiedForConditionalGeneration · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Decision facts

catalog

Decision-model catalog curated

How it was madeLoRA/adapter fine-tune
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceboard file inspection (adapter/head/weight files) + HF base_model field
Base modelgoogle/gemma-4-12B
DI 0.2.1 score50.02 (independent (DI 0.2.1 board))
ECE (board)0.1679
Median latency72.5 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Notes Board raised a capacity limit ("lifted").
Sourcehttps://huggingface.co/EldanRing/Winnow-12B

All variants

3 variants

Lineage

Quantization Family: EldanRing/Winnow 3 derivatives on the Hub

Base model: google/gemma-4-12B-it

quantized: 2finetune: 1

Top variants (3 shown, ranked by downloads)

Relation
3 rows
Variant Relation Quant Params Band License Author Likes Downloads
Piotr1215/Winnow-12B-GGUF quantized GGUF — — apache-2.0 Piotr1215 0 1.3k
ollaya-dev/winnow finetune — — — apache-2.0 ollaya-dev 2 0
tielmane/Winnow-12B-NPU-LPBQ-X-Elite quantized — — — apache-2.0 tielmane 1 0

Repository changelog

22 commits

Repository changelog 22 commits

DateCommitSHA
2026-10-13 Add decision-model tag (#4) 0b5b7f9
2026-10-06 Fix checksum and license links 859a2cb
2026-10-06 Publish approved Winnow card, usage and evidence 6f3417c
2026-10-05 Clarify target downloads and optional MTP assistant metadata abb2162
2026-10-04 Fix checksum and license file links in model card 80b99e9
2026-10-04 Publish Winnow runtime guidance, measured results and model cards fdaebc9
2026-10-04 Add verified NVFP4 and matching MTP assistant assets 3439960
2026-09-21 Separate the vision projector from model quantization choices b6ac22b
2026-09-21 Publish BF16 GGUF, remove safetensors, and clarify GGUF downloads 98851d9
2026-09-21 Focus deployment chart on inference VRAM 61c0ace
2026-09-21 Pin complete inference release with final benchmark report de8d4d4
2026-09-21 Add measured inference-speed figure and final benchmark graphics 816496f
2026-09-21 Pin final verified inference release and benchmark figures be16591
2026-09-21 Polish comparison figures with compact labeled cards 396e123
2026-09-21 Download current BF16 model card alongside merged weights 1d16c7d
2026-09-21 Pin verified inference source and immutable model downloads 2f2c499
2026-09-21 Label every comparison panel and stabilize figure metadata b703405
2026-09-21 Add Winnow-12B model card, benchmarks, figures and quickstart e30cf0a
2026-09-21 Add Winnow-12B merged BF16, Q8 GGUF and vision projector b2b1421
2026-09-20 Prepare Winnow-12B private release documentation 07594dc
2026-09-20 Prepare Winnow-12B private release documentation 031a8dd
2026-09-20 initial commit b35d2da

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Sources

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Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:43 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:17 UTC · Last verified 2026-10-25

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