Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 04:17 UTC

axolotl-ai-cloud / axolotl

Go ahead and axolotl questions

PythonApache-2.0★ 12 228 зірок⑂ 1 396 форківз квіт. 2023 р.Переглянути на GitHub ↗

axolotl-ai-cloud/axolotl має індекс здоров’я 85 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Vitality (99/100), найнижчий — Security (66/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.

85
загалом / 100
Відмінний

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.

85
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

Профіль оцінок

Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.

Власність

Axolotl AIОрганізація
196 підписників22 публічні репозиторіїз квіт. 2024 р.

За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
PyPIaxolotl0.18.0-274 дні тому

Метрики за категоріями

Життєздатність

Чи живий проєкт — чи пишеться код і чи виходять релізи?

99Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
35.3/36Ритм комітів — 51/52 тижнів із комітами
18/18Обсяг комітів — 589 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year589
human_commit_share0,95
days_since_last_push0
active_weeks_last_year51
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 32 релізів
36/36Свіжість релізів — останній реліз 4 дн. тому
27/27Ритм релізів — реліз кожні ~37 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count32
latest_release_tagv0.18.0
releases_from_tagsні
days_since_latest_release4
mean_days_between_releases37
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Signed-Releases. Залишкові ваги перенормовано.

Спільнота та впровадження

Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?

94Відмінний · 18% загального індексу
Як обчислюється оцінка
60/60Зірки — 12 228 зірок
25/25Форки — 1 396 форків
9.8/15Спостерігачі — 58 спостерігачів
Використані вхідні дані
forks1 396
stars12 228
watchers58
growth_stateorganic
growth_factor_pct100
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
18/18Настанови CONTRIBUTING
13.5/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductтак
has_pull_request_templateтак

Сталість та врядування

Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?

69Помірний · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
10.2/22.5Розподіл комітів — головний контриб’ютор — автор 55% комітів
13.5/13.5Широта контриб’юторів — 98 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled98
top_contributor_share0,548
Як обчислюється оцінка
41.4/46.8Вирішення issue — закрито 88% issue
34.3/38.3Прийняття PR — злито 2 279/2 545 вирішених PR
6/15OpenSSF Scorecard: Code-Review — Found 11/25 approved changesets -- score normalized to 4
Використані вхідні дані
merged_prs2 279
open_issues115
closed_issues882
issue_closed_ratio0,885
closed_unmerged_prs266
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
16.5/25Охоплення власника — 196 підписників у axolotl-ai-cloud
14.4/25Послужний список — 22 публічних репозиторіїв, вік облікового запису ~2 р.
Використані вхідні дані
followers196
owner_typeOrganization
is_verified
owner_loginaxolotl-ai-cloud
public_repos22
account_age_days823

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 4 дн. тому
20/20Історія версій — 27 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesaxolotl
ecosystemspypi
any_deprecatedні
min_days_since_publish4

Інженерна якість

Чи наявні базові інженерні практики та документація?

96Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 12 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
6.4/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 23 out of 30 merged PRs checked by a CI test -- score normalized to 7
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigтак
has_linter_configтак
has_precommit_configтак

Документація

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://docs.axolotl.ai
10/10Опис репозиторію
10/10Теми — 2 тем
10/10Wiki
Використані вхідні дані
topicsfine-tuning, llm
has_wikiтак
homepagehttps://docs.axolotl.ai
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?

66Помірний · 16% загального індексу

Стан безпеки

67Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
1.8/2.5CI-Tests — 23 out of 30 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 11/25 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 27 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — немає даних
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — немає даних
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6,7
Виключено з оцінювання (немає даних або не застосовно): branch_protection, pinned_dependencies, signed_releases. Залишкові ваги перенормовано.
Як обчислюється оцінка
12/35Прямі залежності без відомих сповіщень — уражено 2: gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6)
0/25Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
34.3/40Немає задавнених сповіщень — 1 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 92 дн. тому
Використані вхідні дані
sourceosv
advisories7
affected_packages2
assessed_packages41
unassessed_packages18
affected_by_severityhigh 1, moderate 1
direct_affected_packages2
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень. Залишкові ваги перенормовано. Звірено 41 резолвлених залежностей із OSV. 18 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза межами звітованого переліку пакетів. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. Досяжність не аналізується.

Готовність до ШІ

Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.

74Добрий · 0% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md, CLAUDE.md
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 92 з 95 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,968
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes6 229
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — .mypy.ini
10/10Відтворюване середовище — Dockerfile
6/10Підтверджена практика роботи з агентами — 3 з останніх 100 комітів створено агентом або з його зазначенням
8/8Автоматизоване супроводження — 5 з останніх 100 комітів — автоматичні оновлення залежностей
0/10OpenSSF Scorecard: Pinned-Dependencies — немає даних
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileтак
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configs.mypy.ini
agent_commit_share0,03
toolchain_manifests
dependency_bot_commit_share0,05
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Pinned-Dependencies. Залишкові ваги перенормовано.
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (.mypy.ini)
54.3/55Керовані розміри файлів — 12/901 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes136 466
source_files_sampled901
oversized_source_files12
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

12 228зірок GitHub
98контриб'юторів
589комітів за останні 12 місяців
0днів від останнього пушу
32релізів
1бас-фактор
115відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • deps.dev does not index pypi:axolotl@0.18.0; advisories assessed against the repository dependency graph instead

Докладніше

Історія зірок і форків 12 228 ★ / 1 396 ⇿
12 228Зірки
1 396Форки
27Релізи

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.

02 5005 0007 50010 00012 50012 2281 396592024-022025-052026-07
Мажорні 0Мінорні 14Патчі 11

Кожна точка охоплює 3 днів.

OpenSSF Scorecard 6.7 / 10
6.7сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-22 04:17 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
7CI-Tests23 out of 30 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 11/25 approved changesets -- score normalized to 4
10Contributorsproject has 27 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
н/дPinned-Dependenciesinternal error: internal error: invalid Dockerfile
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Прямі залежності 58
РеєстрПакетОбмеження версіїМаніфест
PyPItorch>=2.11.0,<=2.12.1pyproject.toml
PyPIpackaging==26.0pyproject.toml
PyPIhuggingface_hub==1.17.0pyproject.toml
PyPIpeft==0.19.1pyproject.toml
PyPItokenizers==0.22.2pyproject.toml
PyPItransformers==5.14.1pyproject.toml
PyPIaccelerate==1.13.0pyproject.toml
PyPIdatasets==4.8.4pyproject.toml
PyPItrl==1.8.0pyproject.toml
PyPIhf_xet==1.4.3pyproject.toml
PyPIkernels==0.15.2pyproject.toml
PyPItrackio==0.19.0pyproject.toml
PyPItyping-extensions==4.15.0pyproject.toml
PyPIoptimum==1.16.2pyproject.toml
PyPIhf_transferpyproject.toml
PyPIsentencepiecepyproject.toml
PyPIgradio==6.10.0pyproject.toml
PyPImodal==1.3.0.post1pyproject.toml
PyPIpydantic==2.12.5pyproject.toml
PyPIaddictpyproject.toml
PyPIfirepyproject.toml
PyPIPyYAML==6.0.3pyproject.toml
PyPIrequestspyproject.toml
PyPIwandbpyproject.toml
PyPIeinopspyproject.toml
PyPIcoloramapyproject.toml
PyPInumba>=0.63.1,<1.0pyproject.toml
PyPInumpy>=2.1,<3.0pyproject.toml
PyPItyper==0.25.1pyproject.toml
PyPIevaluate==0.4.1pyproject.toml
PyPIscipypyproject.toml
PyPInvidia-ml-py==12.560.30pyproject.toml
PyPIartpyproject.toml
PyPItensorboardpyproject.toml
PyPIpython-dotenv==1.0.1pyproject.toml
PyPIs3fs==2025.10.0pyproject.toml
PyPIgcsfs==2025.10.0pyproject.toml
PyPIadlfs==2026.2.0pyproject.toml
PyPIocifs==1.3.2pyproject.toml
PyPIzstandard==0.22.0pyproject.toml
PyPIfastcorepyproject.toml
PyPIlm_eval==0.4.11pyproject.toml
PyPIlangdetect==1.0.9pyproject.toml
PyPIimmutabledict==4.2.0pyproject.toml
PyPIantlr4-python3-runtime==4.13.2pyproject.toml
PyPIschedulefree==1.4.1pyproject.toml
PyPIopenenv-core==0.1.0pyproject.toml
PyPIaxolotl-contribs-lgpl==0.0.7pyproject.toml
PyPIaxolotl-contribs-mit==0.0.6pyproject.toml
PyPIposthog==6.7.11pyproject.toml
PyPImistral-common==1.11.5pyproject.toml
PyPIbitsandbytes==0.49.1pyproject.toml
PyPItriton>=3.4.0pyproject.toml
PyPIxformers>=0.0.33.post2pyproject.toml
PyPIliger-kernel==0.8.0pyproject.toml
PyPItorchao==0.17.0pyproject.toml
PyPIfla-core==0.4.1pyproject.toml
PyPIflash-linear-attention==0.4.1pyproject.toml
Усі залежності 59

Повний розв'язаний набір залежностей із графа залежностей GitHub: 58 прямих і 1 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIaccelerate1.13.0пряма
PyPIaddictпряма
PyPIadlfs2026.2.0пряма
PyPIantlr4-python3-runtime4.13.2пряма
PyPIartпряма
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Сповіщення про залежності 2

Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 41 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 2 мають відомі сповіщення, з них 2 прямі. 18 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза наведеним переліком пакетів.

ПакетВерсіяЗв'язокКритичністьСповіщеньВиправлено в
gradio6.10.0прямависока56.16.0
python-dotenv1.0.1прямапомірна21.2.2

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

Звіт у форматі JSON машиночитний
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          "headline": "feat(optimizers): SinkGD width transfer, spectral norm, MD sphere + f…",
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          "author_login": "winglian",
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          "is_bot": false,
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          "author_login": "winglian",
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          "is_bot": false,
          "headline": "fix(offload): clone offset/non-contiguous saved tensors on the comput…",
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          "author_login": "winglian",
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          "is_bot": false,
          "headline": "cleanup pytest matrix and gate expensive GPU tests behind maintainer …",
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          "author_login": "winglian",
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          "is_bot": false,
          "headline": "refactor(liger): drop shadowed llama4/qwen3/qwen3_moe hand-patches (#…",
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          "body": "…) [skip ci]\n\n* test: mark flaky VRAM-leak regression test as non-strict xfail\n\ntest_no_vram_leak_regression intermittently fails in CI. Keep running it\nfor signal, but report failures as XFAIL instead of failing the job.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n* mark whole test class as flaky\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test: mark flaky VRAM-leak regression test as non-strict xfail (#3807…",
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          "body": null,
          "is_bot": false,
          "headline": "fix: set min cooldown for dependabot (#3820) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-10T10:06:26Z",
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          "body": "* fix: do not force trust remote code during preprocess\n\n* chore: swap model used",
          "is_bot": false,
          "headline": "fix: do not force trust remote code during preprocess (#3819)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-10T09:54:09Z",
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          "body": "…805)\n\nThe gating bmm in the ScatterMoE forward is autocast-eligible, so under\nbf16/fp16 autocast the autograd Function output takes the autocast dtype\nwhile the saved output_expanded (written by the autocast-unaware Triton\nkernel from fp32 input) stays fp32. Backward then evaluated fp32 @ bf16 in\nt\n[…]\nd_out to output_expanded.dtype at the\ntop of the gates branch in both ParallelLinear and ScatterMoELoRA so the\nwhole gates backward runs in a single dtype; it is a no-op when the dtypes\nalready match.",
          "is_bot": false,
          "headline": "fix(scattermoe): upcast gates-branch grad_out under bf16 autocast (#3…",
          "author_name": "Sung Hyun Cho",
          "author_login": "roycho96",
          "committed_at": "2026-07-09T17:22:58Z",
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          "body": null,
          "is_bot": false,
          "headline": "add torch 2.13 to base image build (#3816)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-09T17:21:10Z",
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          "headline": "Fix/lora attn kernel dropout gate (#3806)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-07-09T16:49:02Z",
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          "oid": "f6d43791def788f805e9b18b53ff0a882bb8de21",
          "body": "* feat(kernels): add NVFP4 LoRA sonicmoe support\n\n* feat(kernels): sonicmoe SM100 NVFP4 W4A4 host driver + correctness gates\n\nCompose quack's GemmGatedSm100/GemmDefaultSm100 with sf_vec_size=16\n(blockscaled NVFP4 mainloop + gated epilogue, zero quack kernel changes)\nbehind our own compile driver, si\n[…]\nNext-80B\n\n* chore: cleanup benchmarks\n\n* feat: improve doc for release\n\n* chore: improve doc and cleanup comments\n\n* fix: cleanup nvfp4 example configs\n\n* chore: update base readme\n\n* Update README.md",
          "is_bot": false,
          "headline": "feat(kernels): add NVFP4 LoRA sonicmoe support (#3780)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
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          "oid": "8284de3a29191a3b92b6d6fdf5646e05603e496d",
          "body": "* fix(expert_parallel): renormalize gate after capacity drop; restore DeepSpeed validator branches; guard dead tied-keys patch\n\n* fix: review pass",
          "is_bot": false,
          "headline": "fix(expert_parallel): post-fix for glm dsa branch (#3781) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-09T11:15:33Z",
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          "body": "…4) [skip ci]\n\n* feat(ci): harden workflow checkout credentials + add dependabot\n\n* fix(ci): disable setup-uv cache on pypi publish path (cache poisoning)\n\n* chore(deps): pin ranged deps to exact versions, drop uv prerelease=allow",
          "is_bot": false,
          "headline": "feat(ci): harden workflow checkout credentials + add dependabot (#380…",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-09T11:10:57Z",
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          "body": "* feat: add support matrix\n\n* fix: simplify\n\n* fix: simplify docs\n\n* docs: add support matrix link and remove em-dashes in readme",
          "is_bot": false,
          "headline": "feat(doc): add support matrix (#3782) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-09T11:03:10Z",
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          "oid": "c7e3e80e226c70fec26996a850b53fa2397c6742",
          "body": "…n attacks (#3760) [skip ci]\n\n* ci: pin all GitHub Actions to full commit SHAs to prevent supply-chain attacks\n\n* feat: add exact tags for ref\n\n---------\n\nCo-authored-by: XananasX7 <XananasX7@users.noreply.github.com>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "ci: pin all GitHub Actions to full commit SHAs to prevent supply-chai…",
          "author_name": "XananasX",
          "author_login": "XananasX7",
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          "oid": "51b840f3feac1cd26f5d5b584ee93bb5c5afd099",
          "body": "… ci]\n\n* docs: document CI/lint/test requirements and e2e-local setup for contributors\n\nDocument the pinned tool versions CI uses (ruff/ruff-format 0.15.8, mypy\n1.19.1, bandit 1.9.4) and add guidance to run pre-commit instead of a\nsystem-installed ruff/mypy so local lint output matches CI.\n\nAlso doc\n[…]\nent docs at direct commands\n\nPer maintainer review on #3748: remove the Makefile wrapper and update\nCONTRIBUTING.md and AGENTS.md to invoke pre-commit/ruff/pytest directly\ninstead of via make targets.",
          "is_bot": false,
          "headline": "docs: expanded contributor, testing and agents guidance (#3748) [skip…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
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        {
          "oid": "79884679e19bf6f32aa0501fea66b7aaad1c91fb",
          "body": "* fix(lora): stop writing input grads into saved activations in fused LoRA backward\n\nLoRA_MLP/LoRA_QKV/LoRA_QK backward aliased the input-gradient buffer onto the\nsaved activation X (torch.mm(..., out=X)). When X is a view created inside\nanother custom autograd Function (e.g. liger RMSNorm returns Y\n[…]\nmove\na what-comment flagged in review. Compile-traceability test stays QKV-only:\nall three share the identical backward code shape.\n\n* test(lora): skip CUDA-only kernel tests cleanly on CPU-only hosts",
          "is_bot": false,
          "headline": "fix(lora): make fused LoRA backward torch.compile traceable (#3800)",
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          "author_login": "thad0ctor",
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          "oid": "629bafbb68c60132e9655768c1864391ebb1ed27",
          "body": "…… (#3673) [skip ci]\n\n* feat(lora): per-module rank/alpha overrides via rank_pattern / alpha_pattern\n\nAdds support for PEFT's rank_pattern and alpha_pattern at training time\n(new config fields lora_rank_pattern / lora_alpha_pattern) and at merge\ntime (memory-efficient merger now honors them per-modu\n[…]\nge tests for rank_pattern alone and rank+alpha combined;\ndocuments resume/continue-training semantics in docs/lora.qmd.\n\n* chore: regenerate CLI config options for lora_rank_pattern/lora_alpha_pattern",
          "is_bot": false,
          "headline": "feat(lora): per-module rank/alpha overrides via rank_pattern / alpha_…",
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          "headline": "streaming fix (#3717) [skip ci]",
          "author_name": "VED",
          "author_login": "ved1beta",
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        {
          "oid": "8297b78b57a2fbafdec9b857a6a65081ba5c46b1",
          "body": "…ooleans (#3765) [skip ci]\n\n* fix(cli/vllm_serve): let explicit CLI False override config-enabled booleans\n\nenable_prefix_caching and enable_reasoning were combined with config values\nusing `cli or cfg`, so a config that enabled either option could not be\ndisabled from the CLI (`False or True` -> `T\n[…]\nlback into `or False`,\nshorten the explanatory comment, and collapse the two precedence tests\ninto one parametrized test to reduce bloat.\n\n* style: fix trailing newline at EOF (pre-commit)\n\n* test fix",
          "is_bot": false,
          "headline": "fix(cli/vllm_serve): let explicit CLI False override config-enabled b…",
          "author_name": "Tai An",
          "author_login": "Anai-Guo",
          "committed_at": "2026-07-08T08:08:00Z",
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        {
          "oid": "3fa2cdc18121046a4bfb72bf45058ab2755e7484",
          "body": "…atches (#3778) [skip ci]\n\nDeepEP main restructured setup.py and removed the disable_nvshmem code\npath (deepseek-ai/DeepEP#664), so the two README patches no longer apply\n(patch failed: setup.py:19). v1.2.1 is the last release they apply to.\n\n- Ampere section: drop --depth 1 and add git checkout v1.2.1 (a shallow\n  clone cannot check out the tag)\n- Notes: state the v1.2.1 pin is required; remove the build-from-HEAD\n  guidance\n\nFixes #3766",
          "is_bot": false,
          "headline": "docs(expert_parallel): pin DeepEP to v1.2.1 for the DISABLE_NVSHMEM p…",
          "author_name": "trevorgordon981",
          "author_login": "trevorgordon981",
          "committed_at": "2026-07-08T07:31:32Z",
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          "is_bot": false,
          "headline": "fix: improve validation error for jinja chat template (#3802) [skip ci]",
          "author_name": "Hyacinth-of-Security",
          "author_login": "lxcxjxhx",
          "committed_at": "2026-07-07T11:53:33Z",
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          "is_bot": false,
          "headline": "fix(fsdp2): use EP LoRA saver for quantized checkpoints (#3777)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-05T16:52:52Z",
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        {
          "oid": "ec55b5e39ed80ce62f2aa4fee7ee8159d0309501",
          "body": "…#3799)",
          "is_bot": false,
          "headline": "fix(lora): correct fp32 NF4 dequant + harden fused GDN LoRA routing (…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-05T09:34:24Z",
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        {
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          "body": "Co-authored-by: Your Name <you@example.com>",
          "is_bot": false,
          "headline": "bumo trl (#3784)",
          "author_name": "VED",
          "author_login": "ved1beta",
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          "oid": "6a93dbf0ef245b8df259fd649db2f97ee97dce36",
          "body": "…s (#3732)\n\n* perf(lora): route GatedDeltaNet projections through fused LoRA kernels\n\nQwen3.5's linear-attention (GatedDeltaNet) layers call five LoRA-wrapped\nprojections per layer (in_proj_qkv/z/b/a, out_proj) through the plain peft\nmodule forward. peft's _cast_input_dtype round-trips the full [B, \n[…]\nTN_IN_PROJS (single source of truth)\n- add tests: independent gating, backward-under-dropout self-consistency\n  (plain LoRA + DoRA, incl. d_mag)\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
          "is_bot": false,
          "headline": "perf(lora): route GatedDeltaNet projections through fused LoRA kernel…",
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          "body": "…_sdpa (#3793) [skip ci]",
          "is_bot": false,
          "headline": "fix: gemma4 gqa guard breaks under transformers 5.13 3-arg use_gqa_in…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
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          "body": "…attn backends (#3796)",
          "is_bot": false,
          "headline": "fix: correct and streamline multipack packing decontamination across …",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-04T04:12:15Z",
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          "body": "… [skip ci]",
          "is_bot": false,
          "headline": "feat: compile-clean multidoc routing for large-head attention (#3789)…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-04T04:11:56Z",
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        {
          "oid": "68a2a07ee8a383a9dee6a45303f6e32b3796a7f9",
          "body": null,
          "is_bot": false,
          "headline": "strip out apt libs installs that were moved to base image (#3794)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T18:10:43Z",
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        {
          "oid": "f51fa20a9bdb203cdc81abc0903d88d4a38ac212",
          "body": "…ecomputing) (#3786)",
          "is_bot": false,
          "headline": "feat: selective activation checkpointing (save attention instead of r…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T15:55:54Z",
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        },
        {
          "oid": "a5bbe70bc4f2d9aadd2518d5a533d1142959ccc7",
          "body": null,
          "is_bot": false,
          "headline": "push some of the missed apt packages up to base (#3792)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T15:12:18Z",
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        },
        {
          "oid": "61ae54d3cf378e59f41fbb9a4aa37931cac26fdc",
          "body": "…r (#3790)",
          "is_bot": false,
          "headline": "move some package installs up to base to make downstream builds faste…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T14:57:48Z",
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          "is_bot": false,
          "headline": "fix(fsdp2): route quantized LoRA checkpoints through adapter gather (…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T13:35:30Z",
          "body_truncated": false,
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        },
        {
          "oid": "0cfacb75e1f7fb8c16918021aa53477dc8dfe625",
          "body": null,
          "is_bot": false,
          "headline": "feat: register custom torch ops for in-repo kernels (#3788)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T11:42:16Z",
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          "body": null,
          "is_bot": false,
          "headline": "fix: uv build dep from hf hub (#3783)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-02T21:29:01Z",
          "body_truncated": false,
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        },
        {
          "oid": "0e18eb2f5cc8015f709237d66537fbc869f373dc",
          "body": "…mples (#3756)",
          "is_bot": false,
          "headline": "fix(chat_template): train the Gemma turn terminator by default in exa…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-07-02T20:03:00Z",
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          "body": null,
          "is_bot": false,
          "headline": "Add checkpoint hidden-state activation offload (#3776)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-02T14:36:46Z",
          "body_truncated": false,
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          "oid": "7379c1cc71d8e100bdb1ce94dffd3ca01a3a7909",
          "body": null,
          "is_bot": false,
          "headline": "fix(merge): dequantize quantized bases before folding LoRA delta (#3771)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-02T05:22:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a68e7dabf64b8dd520faea83cd702116045b393b",
          "body": null,
          "is_bot": false,
          "headline": "fix: pin version for httpx and not use pre-release (#3775)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-02T05:06:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f3be6690490ced965bfbadcbc86462ee36e00201",
          "body": null,
          "is_bot": false,
          "headline": "feat: add httpx (#3770)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-01T13:41:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c9b442fa56585774f549cb906807ff3aecafc13f",
          "body": null,
          "is_bot": false,
          "headline": "build and test only torch 2.11.0+ w cu130 (#3761)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-01T12:28:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0bda5a13e4d52ceec58104f44fabb7bd314f9c02",
          "body": "…ptimizer (#3763)",
          "is_bot": false,
          "headline": "feat(optimizers): add SinkGD stateless gradient multi-normalization o…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-30T12:38:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ed9514cd946d2b71d1bfd0c7a4fbda6527fa9cda",
          "body": "…allelism (incl. EP×dp_shard / EP×cp) (#3759)",
          "is_bot": false,
          "headline": "feat(glm_moe_dsa): GLM-5.2 DSA kernels, NVFP4 loading, and expert par…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-29T11:39:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5412748acbb303fa924744d6be03eb72210d0ca7",
          "body": "* fix: cce handling\n\n* fix: torch211 and torch210 varlen attn compat\n\n* feat: update cce commit to use newer transformers v5 patches\n\n* feat: update cce for more patch updates",
          "is_bot": false,
          "headline": "fix: cce update and post merge bugs (#3757)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-28T05:12:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ba940e9fb65ece88de53a4edf34d741fb226279e",
          "body": "* fix: drop non-uv docker builds\n\n* chore: delete dead images\n\n* chore: update docs\n\n* fix: remove old images\n\n* ci: add concurrency groups to cancel superseded runs\n\n* ci: add registry layer cache to docker image builds\n\n* ci: enable uv dependency caching in pytest jobs\n\n* docker: use buildkit uv c\n[…]\np pytest in image for running tests in pods\n\n* ci: stop running pre-commit in both lint and tests workflows\n\n* fix: incorporate upstream gemma4 fix into test\n\n* fix: add handling of nightly kernel fix",
          "is_bot": false,
          "headline": "fix: remove non-uv images and general docker improvements (#3740)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-24T14:05:45Z",
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        },
        {
          "oid": "a6dd149f9919084ce4b213d23431eaca61f5046a",
          "body": "…s (#3751) [skip ci]\n\n* fix: avoid IndexError in metharme/reflection _tokenize on empty fields\n\nMetharmePromptTokenizingStrategy._tokenize and\nReflectionPromptTokenizingStrategy._tokenize index result[\"input_ids\"][-1]\nwithout the empty-result guard the base PromptTokenizingStrategy._tokenize\nalready\n[…]\n\nbase class. Added regression tests for both strategies.\n\n* Condense empty-result comment to one line\n\n* fix: cleanup pr and use smaller model\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix: avoid IndexError in metharme/reflection _tokenize on empty field…",
          "author_name": "Vineeth Sai",
          "author_login": "vineethsaivs",
          "committed_at": "2026-06-24T14:01:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3ad474c69ae519652a064a6cecf37a862a330050",
          "body": "* fix(dpo): make user_defined strategy work with custom field names and {system}\n\nThe user_defined DPO strategy built its default prompt/chosen/rejected\nformat strings from the configured field names (e.g. \"{my_chosen}\") but\ncalled str.format() with the canonical keywords (chosen=...). Any custom\nfi\n[…]\nne), explicit chosen/rejected formats, the\nnon-dict guard, and the loader path.\n\nFixes #2645\n\n* fix: clean up test and made test more specific\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix(dpo): user_defined strategy KeyError on custom field names (#3742)",
          "author_name": "Vineeth Sai",
          "author_login": "vineethsaivs",
          "committed_at": "2026-06-24T14:00:38Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "989c993767876d1efc3d36eb5d614dade4083480",
          "body": "… (#3739) [skip ci]\n\n* fix: correct NameError in _get_messages when JSON decodes to non-list\n\nWhen `messages` is a JSON string that decodes to a non-list value\n(e.g. a JSON object / dict), the assertion\n\n    assert isinstance(messages, list), (\n        f\"... got {type(message)}\"\n    )\n\nraises an Unb\n[…]\nug case), non-dict turn, invalid JSON, and missing field.\n\n* fix: simplified test\n\n---------\n\nCo-authored-by: JSap0914 <JSap0914@users.noreply.github.com>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix: correct NameError in _get_messages when JSON decodes to non-list…",
          "author_name": "JSap0914",
          "author_login": "JSap0914",
          "committed_at": "2026-06-24T14:00:10Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b3c9e07aec5779b622a27735db5071a18ba58996",
          "body": "* fix: stray wrapping in falcon h1\n\n* fix: regression after remove continue due to our analyzer\n\n* fix: deepseek following 3.1 template\n\n* fix: adopted upstream mistral templates\n\n* fix: multimodal handling\n\n* feat: future multimodal chat support\n\n* fix: reformat multi-line\n\n* fix: make analyzer same env as upstream transformers\n\n* fix: revert exaone4 given we now support continue\n\n* fix: coderrabbit comments\n\n* feat: add test for before/after template rendering",
          "is_bot": false,
          "headline": "fix(jinja): outdated template multi modal (#3736) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-24T13:59:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "00e6258ac7c59fb7de3590be78523c98ca9e3c10",
          "body": "…p ci]\n\n* fix dataset oom\n\n* lint T_T\n\n* fix: overflow for chunk size access and default min count\n\n* feat: add tests\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "Fix RAM OOM when loading large preprocessed SFT datasets (#3711) [ski…",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-06-24T13:58:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "df327bb32b95f366b2c3686ca0025410e20ba58c",
          "body": "…g .yml (#3710) [skip ci]\n\n* feat(fsdp): expose fsdp_config.min_num_params for SIZE_BASED_WRAP\n\nWire the FSDP_MIN_NUM_PARAMS env var from YAML so the size-based\nauto-wrap policy can be configured without setting the env var manually.\n\n* feat(fsdp): require min_num_params for SIZE_BASED_WRAP and enfo\n[…]\nting migration\nfixture now needs the field to pass validation.\n\n* feat: add test check SIZE_BASED_WRAP without min params\n\n* chore: update doc\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "feat(fsdp): expose fsdp's min_num_params for SIZE_BASED_WRAP in confi…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-24T13:56:36Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8eac710b2240be093e8f33644ef6a3e0887fd62b",
          "body": "…bnb) and DeepSeek-V4 on sm120/sm90/sm100 (#3747)\n\n---------\n\nCo-authored-by: Entrpi <entrpi@proton.me>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "feat(kernels): fast + low-memory MoE-LoRA for gemma4 (NVFP4/Marlin + …",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-24T13:10:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e86163dd332f3aad2f29de8fe44b6cfd5f74b22d",
          "body": "* feat: add interactive multi-turn chat mode (--chat) to inference CLI\n\n* fix: apply_chat_template returns BatchEncoding in transformers v5\n\n* docs: document interactive chat mode for inference\n\n* feat: diffusion turn generation for chat mode; fix fp8 probe on CPU-only torch\n\n* feat: suggest command\n[…]\nr counts and the\n  stored message, dropping the redundant full decode\n\n* refactor(chat): share the live thinking-tail FPS as a class constant\n\n* fix: interrupt cache race condition and parse edge case",
          "is_bot": false,
          "headline": "feat: add inference multi-turn chat interface (#3723)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-16T09:46:29Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "bc7e26538f470f103b900be67537cda5d5ff6a9d",
          "body": "* fix: fail early for CI if meet CUDA error\n\n* fix: switch to clean abort",
          "is_bot": false,
          "headline": "fix: fail early for CI if meet CUDA error (#3737) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-16T09:42:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fa7a66502d48f556c44910b9acb87124e2cc34af",
          "body": "…onfig (#3730) [skip ci]\n\n* fix: KTO user_defined dataset transform crashes on every documented config\n\nThe user_defined.default KTO strategy was broken in all configurations:\n\n- when completion_format was provided, the default was assigned to a\n  misnamed chosen_format variable only in the fallback\n[…]\nerage check\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n* fix: wrong pydantic type\n\n* feat: updated test to handle e2e validation\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix: KTO user_defined dataset transform crashes on every documented c…",
          "author_name": "Ayush",
          "author_login": "Ayushhgit",
          "committed_at": "2026-06-16T01:59:31Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "277d524b12b5585c53a65b3564c9d6ebdcf7b4a7",
          "body": "…param paths (#3733)",
          "is_bot": false,
          "headline": "feat(offload): hidden_states activation offloading + fix legacy/full-…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-15T22:09:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a56fe869f9d9f82025cabd016dc2db7987cf1bbb",
          "body": null,
          "is_bot": false,
          "headline": "fix qwen chat3.5 (#3728) [skip ci]",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-06-15T08:06:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b02ee147a38c100da518294f56356df3ae09e5f6",
          "body": "…tent in qwen3_5 template (#3725) [skip ci]\n\nThe inline-<think> assistant branch reassigned content (stripping it to\nthe post-</think> answer) before reasoning_content was extracted from it.\nSince reasoning_content reads from the already-truncated content, the\nreasoning trace was dropped and the answer leaked into the <think> block.\nSwap the two set statements to match the official Qwen3.5 template order.",
          "is_bot": false,
          "headline": "fix(chat_templates): extract reasoning_content before reassigning con…",
          "author_name": "Tai An",
          "author_login": "Anai-Guo",
          "committed_at": "2026-06-15T08:04:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ac35190d8960c3434d7e82c77ac030f7b9c1575a",
          "body": "* fix version mismatch 4 pirate\n\n* add whitlist for collab\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix numpy version mismatch 4 pirate (#3662) [skip ci]",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-06-15T08:04:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5ed506e79b190f2c8a92742cce04fd728270be70",
          "body": "* feat: update cce for new models\n\n* feat: update transformers\n\n* chore: remove dead code\n\n* feat: add liger for gemma4 unified\n\n* fix: hybrid attn for latest transformers\n\n* feat: add gemma4 unified following gemma4\n\n* chore: refactor old logger to axolotl get_logger\n\n* fix: update legacy env to ne\n[…]\nort simplenamespace for test\n\n* fix: update quarto to include all current scripts\n\n* fix: drop quarto doc entry for untracked deepseek_v4 module\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
          "is_bot": false,
          "headline": "Feat: add gemma4 unified (#3706)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-15T02:31:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "22bcb9a773cb9de49bdcabca5be61c09b420b736",
          "body": "* feat(scattermoe-lora): multi-adapter (expert x tenant) LoRA path\n\nCo-train many LoRA adapters (\"tenants\") over one frozen expert stack: an MoE\ntoken carries the router's expert assignment AND a per-row tenant id, so the base\nexpert GEMM keys on expert while the LoRA keys on the combined (expert, t\n[…]\n error 8e-4 -> ~1e-7, matching the forward.\n\nAdds a multi-adapter regression test that disables TF32 and asserts tight fp32\nparity (dA/dB ~1e-7) -- would fail at ~1e-3 with the stale import-time copy.",
          "is_bot": false,
          "headline": "Multi-adapter MoE LoRA support (#3719)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-09T19:22:57Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a713e3c29508a78ccb6a24c65d65b0e393ca7a0a",
          "body": "…#3672)\n\n* perf(mm-mask): vectorized role-boundary scanner + fused process_labels\n\nFollow-up to #3625 reducing the cost of multimodal assistant-only masking:\n\n- Vectorized role-boundary scanner (_compute_role_keep_mask_vectorized):\n  precomputes start/end match positions in a single batched unfold p\n[…]\nx3-6k batches, widening with turn\nlength. Adds long-span / multi-end-marker parity fuzz that the original\nfiller<=200 generator under-exercised.\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
          "is_bot": false,
          "headline": "perf: faster multimodal assistant-only masking (vectorized scanner) (…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-09T17:06:06Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ed10453742a8fe4fe6097b00657e2d22bcb2fe87",
          "body": "* feat(liger): bump liger-kernel to 0.8.0 and guard native dispatch overrides\n\nliger-kernel 0.8.0 adds native MODEL_TYPE_TO_APPLY_LIGER_FN entries for\nqwen3_5, qwen3_5_text, qwen3_5_moe, qwen3_5_moe_text, gemma4_text, ministral,\nand nemotron. plugin.py consults that registry before its own model bra\n[…]\n not in the pinned 0.8.0 release, so the warning now scopes the limitation to\n0.8.0 rather than implying it is fundamentally unsupported.\n\n* style(liger): collapse gemma4 RMSNorm docstring to one line",
          "is_bot": false,
          "headline": "Feat/liger 0.8.0 bump (#3713)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-09T06:35:46Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "56bfe6440a6d13e9eeef96eb0fa686e06c8884e2",
          "body": "* fix: gc_collect_steps not honored\n\nget_callbacks only wired GCCallback off the deprecated `gc_steps`, so setting\n`gc_collect_steps` on its own was silently ignored (`migrate_gc_steps` never\nback-fills `gc_steps`). Read `gc_collect_steps`, falling back to the deprecated\n`gc_steps`, and pass it through to GCCallback. Adds a wiring regression test.\n\n* style: apply ruff format to gc_steps wiring test",
          "is_bot": false,
          "headline": "fix: gc_collect_steps not honored (#3709) [skip ci]",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-09T06:32:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5a0dc637e5f76a77fe74db05340e84a0587e0e08",
          "body": "… ci]\n\nThe base trainer uses a SequentialSampler when curriculum_sampling is set, but\nthe GRPO sampler hardcoded shuffle=True, so curriculum_sampling was ignored and\nthe dataset was always shuffled. Wire shuffle to not curriculum_sampling, which\nmakes SequenceParallelRepeatRandomSampler emit indices in dataset order.\n\nFixes #2376",
          "is_bot": false,
          "headline": "Honor curriculum_sampling in AxolotlGRPOTrainer sampler (#3707) [skip…",
          "author_name": "Prathamesh Jadhav",
          "author_login": "lollinng",
          "committed_at": "2026-06-09T06:32:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2501b62d8559432fd7013ffe7a8326716a13bba5",
          "body": "* fix: tkps grad accu miscalculation\n\n* feat: add test",
          "is_bot": false,
          "headline": "fix: tkps grad accu miscalculation (#3699) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-09T06:31:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "77706d1b4fa048697ce5113f4b80cabcffd73973",
          "body": "…dn't be flag as an warning (#3718)",
          "is_bot": false,
          "headline": "feat: when validating OptimizationValidationMixin, fsdp_version shoul…",
          "author_name": "Samuel Larkin",
          "author_login": "SamuelLarkin",
          "committed_at": "2026-06-09T00:41:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
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          "body": "…MXFP4, sonicmoe fallback (#3714)\n\n* perf(scattermoe-ep): skip DeepEP -1 sentinels in the local kernel\n\nUnder DeepEP the local scattermoe kernel received the full N*K dispatched\nrouting with remote slots mapped to expert 0 / weight 0, so the grouped GEMM\n+ per-row LoRA processed every sentinel row (\n[…]\nh the standard and EP forwards.\n\nValidated vs the dequantized-weight reference within NV rounding tol (dX/dA/dB ~1e-3..\n1e-2) through the standard and EP forwards; MXFP4 suite still green (14 passed).",
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          "headline": "prefer latest pytorch as gated e2e tests (#3698)",
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          "headline": "add pytorch 2.12 base and prune unused base images (#3697)",
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            "key": "maintainer_resilience",
            "band": "at_risk",
            "name": "Maintainer resilience (bus factor)",
            "note": null,
            "notes": [],
            "value": 43,
            "inputs": {
              "bus_factor": 1,
              "contributors_sampled": 98,
              "top_contributor_share": 0.548
            },
            "components": [
              {
                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "1 contributor(s) cover half of all commits",
                "points": 9,
                "status": "partial",
                "details": [
                  {
                    "code": "bus_factor",
                    "params": {
                      "count": 1
                    }
                  }
                ],
                "max_points": 54
              },
              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 55% of commits",
                "points": 10.2,
                "status": "partial",
                "details": [
                  {
                    "code": "top_contributor_share",
                    "params": {
                      "share": 55
                    }
                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "98 contributors",
                "points": 13.5,
                "status": "met",
                "details": [
                  {
                    "code": "contributors_sampled",
                    "params": {
                      "count": 98
                    }
                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 27 contributing companies or organizations",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "merged_prs": 2279,
              "open_issues": 115,
              "closed_issues": 882,
              "issue_closed_ratio": 0.885,
              "closed_unmerged_prs": 266
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "88% of issues closed",
                "points": 41.4,
                "status": "partial",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 88
                    }
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "2279/2545 decided PRs merged",
                "points": 34.3,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 2279,
                      "decided": 2545
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                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 11/25 approved changesets -- score normalized to 4",
                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 61,
            "inputs": {
              "followers": 196,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "axolotl-ai-cloud",
              "public_repos": 22,
              "account_age_days": 823
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "196 followers of axolotl-ai-cloud",
                "points": 16.5,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 196,
                      "login": "axolotl-ai-cloud"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "22 public repos, account ~2 yr old",
                "points": 14.4,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 22
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 2
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "axolotl"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 4
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 4 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 4
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "27 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 27
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 96,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": true,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "12 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 12
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 6.4,
                "status": "met",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "23 out of 30 merged PRs checked by a CI test -- score normalized to 7",
                "points": 14,
                "status": "partial",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "topics": [
                "fine-tuning",
                "llm"
              ],
              "has_wiki": true,
              "homepage": "https://docs.axolotl.ai",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://docs.axolotl.ai",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "2 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 2
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 66,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Pinned-Dependencies, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "pinned_dependencies",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 67,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 6.7
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "23 out of 30 merged PRs checked by a CI test -- score normalized to 7",
                "points": 1.8,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 11/25 approved changesets -- score normalized to 4",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 27 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "internal error: internal error: invalid Dockerfile",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "4 existing vulnerabilities detected",
                "points": 4.5,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "moderate",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 41 resolved dependencies against OSV; 18 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 41
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 18
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 62,
            "inputs": {
              "source": "osv",
              "advisories": 7,
              "affected_packages": 2,
              "assessed_packages": 41,
              "unassessed_packages": 18,
              "affected_by_severity": "high 1, moderate 1",
              "direct_affected_packages": 2
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "2 affected: gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6)",
                "points": 12,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 2,
                      "packages": "gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6)"
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 92 days ago",
                "points": 34.3,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_stale",
                    "params": {
                      "days": 90,
                      "count": 1,
                      "oldest": 92
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 41,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 13
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 74,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.968,
              "agent_instruction_files": [
                "AGENTS.md",
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 6229
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md, CLAUDE.md"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "92 of 95 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 92,
                      "sampled": 95
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
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  "warnings": [
    "deps.dev does not index pypi:axolotl@0.18.0; advisories assessed against the repository dependency graph instead"
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}

Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.26.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаPyPI.