Models › bosun-v3.1 family

Hanno-Labs Apache 2.0 out 33 days ago

Text in, text out.

Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 723 · #601 of 619 tracked

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?723downloads, 30 days#601 of 619 we track · below the median+2 likes, downloads −48% this week5 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: 1 quantized builds and 6 Spaces.

  • As a service0no API provider listed
  • On own hardware1quantized builds
  • Built on00 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.

15 repo commits since the weights landed

Teal is the weights (2026-09-22), grey ticks are repo commits.

Oct2026-10-09: 3 repo commits2026-09-23: 1 repo commit2026-09-22: 11 repo commitsWeights 2026-09-22 · 2026-09-22Weights 2026-09-22now
Oct2026-10-09: 3 repo commits2026-09-23: 1 repo commit2026-09-22: 11 repo commitsWeights 2026-09-22 · 2026-09-22Weights 2026-09-22now

What people built on it

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

1 derivative on the Hub

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

1 quantized (Hugging Face model tree)1 quantized
1 quantized (Hugging Face model tree)1 quantized

All variants →

Reference

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

Benchmarks

9 rows

Benchmarks 9 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (9)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 DecisionBench overall81.1841% percent—model author2026-10-07
author-reported DecisionBench overall0.07 other—model author2026-10-07
author-reported DecisionBench overall0.65 other—model author2026-10-07
author-reported Reasoning slice43.0833% percent—model author2026-10-07
author-reported Reasoning slice0.2 other—model author2026-10-07
author-reported Reasoning slice1.18 other—model author2026-10-07
author-reported frozen training-heldout evaluation88.39% percentSelected epochmodel author2026-10-07
author-reported frozen training-heldout evaluation88.3907% percentSelected epochmodel author2026-10-07
author-reported DecisionBench (Hanno-Labs/decision-bench-results)0.81Native full-candidate logits; 23,900 rows; 100% coverage; NLL 0.6491; 15-bin ECE 0.0659.DecisionBench v1.0 published results2026-10-24

What the card says

3 cited sentences

Summary generated, cited

Bosun v3.1 0.6B is a text-generation adapter model built on Qwen/Qwen3-0.6B.[1] The model is designed for structured decisions, such as classification and routing, by returning probability distributions over available choices.[2] It is released under the Apache 2.0 license and utilizes 256 learned decision tokens.[3][4]

  1. “built on `Qwen/Qwen3-0.6B`”
  2. “built for decision points inside agents and software”
  3. license
  4. “256 learned decision tokens”

Generated 2026-10-07 15:19 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

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

15 fields

Listed in Decision models

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesBosunForDecision
Model typebosun
Dtypebfloat16
MoEno
Languagesen
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: not in registry · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: not in registry · 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 + new scoring/pointer head
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/Qwen3-0.6B-Base
DI 0.2.1 score14.32 (independent (DI 0.2.1 board))
ECE (board)0.1419
Median latency38.7 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/Hanno-Labs/bosun-v3.1-0.6b

All variants

1 variant

Lineage

Adapter Family: Hanno-Labs/bosun-v3.1 1 derivative on the Hub

Base model: Qwen/Qwen3-0.6B

quantized: 1

Top variants (1 shown, ranked by downloads)

1 rows
Variant Relation Quant Params Band License Author Likes Downloads
Hanno-Labs/bosun-v3.1-0.6b-GGUF quantized GGUF — — apache-2.0 Hanno-Labs 0 338

Repository changelog

15 commits

Repository changelog 15 commits

DateCommitSHA
2026-10-09 Shorten DecisionBench evaluation note 5e78a37
2026-10-09 Link DecisionBench result to the results registry leaderboard 351bfb9
2026-10-09 Add published DecisionBench evaluation result 184cd08
2026-09-23 Link Bosun 0.6B GGUF weights from model card 1d8b6f9
2026-09-22 Add Apache-2.0 license and Clause Logic attribution 2afeacc
2026-09-22 Update README.md e94fcfc
2026-09-22 document all Bosun decision types 87cea31
2026-09-22 add Transformers decision model loader 8979d39
2026-09-22 Remove training-only artifacts from public model head d42cd91
2026-09-22 Clarify public inference files and add artwork 12c0b6e
2026-09-22 Add Bosun model card artwork 4ee2b93
2026-09-22 Remove internal provenance from public model card 1001870
2026-09-22 Expand Bosun v3.1 model card c1e8670
2026-09-22 Publish Bosun v3.1 0.6B checkpoint aaa9dd0
2026-09-22 initial commit 18b0e4a

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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 15:19 UTC · Last verified 2026-10-25

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