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Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 04:17 UTC

axolotl-ai-cloud / axolotl

Go ahead and axolotl questions

PythonApache-2.0★ 12.228 Sterne⑂ 1.396 Forksseit Apr. 2023Auf GitHub ansehen ↗

axolotl-ai-cloud/axolotl erreicht einen Gesundheitsindex von 85 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Security (66/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

85
gesamt / 100
Exzellent

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

85
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

Axolotl AIOrganisation
196 Follower22 öffentliche Reposseit Apr. 2024

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIaxolotl0.18.0-27vor 4 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

99Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
35.3/36Commit-Rhythmus — 51/52 Wochen mit Commits
18/18Commit-Volumen — 589 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year589
human_commit_share0,95
days_since_last_push0
active_weeks_last_year51

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 32 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 4 Tagen
27/27Release-Rhythmus — ein Release etwa alle 37 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count32
latest_release_tagv0.18.0
releases_from_tagsnein
days_since_latest_release4
mean_days_between_releases37
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

94Exzellent · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 12.228 Stars
25/25Forks — 1.396 Forks
9.8/15Watcher — 58 Watcher
Verwendete Eingangsdaten
forks1.396
stars12.228
watchers58
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

69Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 55 % der Commits
13.5/13.5Breite der Beitragenden — 98 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled98
top_contributor_share0,548
Wie die Bewertung erfolgt
41.4/46.8Issue-Lösungsquote — 88 % der Issues geschlossen
34.3/38.3PR-Annahme — 2.279/2.545 entschiedene PRs gemergt
6/15OpenSSF Scorecard: Code-Review — Found 11/25 approved changesets -- score normalized to 4
Verwendete Eingangsdaten
merged_prs2.279
open_issues115
closed_issues882
issue_closed_ratio0,885
closed_unmerged_prs266
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
16.5/25Reichweite des Inhabers — 196 Follower von axolotl-ai-cloud
14.4/25Kontohistorie — 22 öffentliche Repos, Kontoalter ca. 2 Jahre
Verwendete Eingangsdaten
followers196
owner_typeOrganization
is_verified
owner_loginaxolotl-ai-cloud
public_repos22
account_age_days823

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 4 Tagen
20/20Versionshistorie — 27 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesaxolotl
ecosystemspypi
any_deprecatednein
min_days_since_publish4

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

96Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 12 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
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
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://docs.axolotl.ai
10/10Repository-Beschreibung
10/10Topics — 2 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsfine-tuning, llm
has_wikija
homepagehttps://docs.axolotl.ai
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

66Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
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
2.5/2.5Lizenz — 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 — keine Daten
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 — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, pinned_dependencies, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
12/35Direkte Abhängigkeiten ohne bekannte Advisories — 2 betroffen: gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6)
0/25Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar
34.3/40Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 92 Tagen veröffentlicht
Verwendete Eingangsdaten
sourceosv
advisories7
affected_packages2
assessed_packages41
unassessed_packages18
affected_by_severityhigh 1, moderate 1
direct_affected_packages2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories. Die verbleibenden Gewichte wurden renormalisiert. 41 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 18 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

74Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 92 von 95 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,968
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes6.229
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — .mypy.ini
10/10Reproduzierbare Umgebung — Dockerfile
6/10Belegte Agentenpraxis — 3 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
8/8Automatisierte Wartung — 5 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configs.mypy.ini
agent_commit_share0,03
toolchain_manifests
dependency_bot_commit_share0,05
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (.mypy.ini)
54.3/55Handhabbare Dateigrößen — 12/901 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes136.466
source_files_sampled901
oversized_source_files12
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

12.228GitHub-Sterne
98Mitwirkende
589Commits, letzte 12 Monate
0Tage seit letztem Push
32Releases
1Bus-Faktor
115offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

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

Weitere Details

Stern- und Fork-Verlauf 12.228 ★ / 1.396 ⇿
12.228Sterne
1.396Forks
27Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.

02.5005.0007.50010.00012.50012.2281.396592024-022025-052026-07
Major 0Minor 14Patch 11

Jeder Punkt umfasst 3 Tage.

OpenSSF Scorecard 6.7 / 10
6.7Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-22 04:17 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-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
k. A.Pinned-Dependenciesinternal error: internal error: invalid Dockerfile
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direkte Abhängigkeiten 58
RegistryPaketVersionsvorgabeManifest
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
Alle Abhängigkeiten 59

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 58 direkte und 1 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIaccelerate1.13.0direkt
PyPIaddictdirekt
PyPIadlfs2026.2.0direkt
PyPIantlr4-python3-runtime4.13.2direkt
PyPIartdirekt
PyPIaxolotl-contribs-lgpl0.0.7direkt
PyPIaxolotl-contribs-mit0.0.6direkt
PyPIbitsandbytes0.49.1direkt
PyPIcoloramadirekt
PyPIdatasets4.8.4direkt
PyPIeinopsdirekt
PyPIevaluate0.4.1direkt
PyPIfastcoredirekt
PyPIfiredirekt
PyPIfla-core0.4.1direkt
PyPIflash-linear-attention0.4.1direkt
PyPIgcsfs2025.10.0direkt
PyPIgradio6.10.0direkt
PyPIhf-transferdirekt
PyPIhf-xet1.4.3direkt
PyPIhuggingface-hub1.17.0direkt
PyPIimmutabledict4.2.0direkt
PyPIkernels0.15.2direkt
PyPIlangdetect1.0.9direkt
PyPIliger-kernel0.8.0direkt
PyPIlm-eval0.4.11direkt
PyPImistral-common1.11.5direkt
PyPImodal1.3.0.post1direkt
PyPInumbadirekt
PyPInumpydirekt
PyPInvidia-ml-py12.560.30direkt
PyPIocifs1.3.2direkt
PyPIopenenv-core0.1.0direkt
PyPIoptimum1.16.2direkt
PyPIpackaging26.0direkt
PyPIpeft0.19.1direkt
PyPIposthog6.7.11direkt
PyPIpydantic2.12.5direkt
PyPIpython-dotenv1.0.1direkt
PyPIpyyaml6.0.3direkt
PyPIrequestsdirekt
PyPIs3fs2025.10.0direkt
PyPIschedulefree1.4.1direkt
PyPIscipydirekt
PyPIsentencepiecedirekt
PyPItensorboarddirekt
PyPItokenizers0.22.2direkt
PyPItorchdirekt
PyPItorchao0.17.0direkt
PyPItrackio0.19.0direkt
PyPItransformers5.14.1direkt
PyPItritondirekt
PyPItrl1.8.0direkt
PyPItyper0.25.1direkt
PyPItyping-extensions4.15.0direkt
PyPIwandbdirekt
PyPIxformersdirekt
PyPIzstandard0.22.0direkt
PyPIrunpodindirekt
Abhängigkeits-Advisories 2

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 41 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 2 tragen bekannte Advisories, davon 2 direkte. 18 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
gradio6.10.0direkthoch56.16.0
python-dotenv1.0.1direktmittel21.2.2

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
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          "headline": "fix(moe): promote expert offsets to int64 in scattermoe/nvfp4 triton …",
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          "headline": "build(deps): bump nwtgck/actions-netlify from 3.0.0 to 4.0.0 (#3810) …",
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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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        },
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          "oid": "211aa55cce1e65db7c5402be73544119f5d2e599",
          "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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        },
        {
          "oid": "6543c33c766533bb833db0dd93070c06871fa506",
          "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",
          "body_truncated": false,
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        },
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          "oid": "5474569718914870134a35884463acc6ff8626b6",
          "body": null,
          "is_bot": false,
          "headline": "Fix/lora attn kernel dropout gate (#3806)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-07-09T16:49:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "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",
          "committed_at": "2026-07-09T11:16:33Z",
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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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        },
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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",
          "body_truncated": false,
          "is_coding_agent": false
        },
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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",
          "body_truncated": false,
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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",
          "committed_at": "2026-07-09T10:21:44Z",
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        },
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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",
          "committed_at": "2026-07-09T10:17:56Z",
          "body_truncated": true,
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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)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-07-08T09:19:58Z",
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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_…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-07-08T08:10:12Z",
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          "oid": "39c961ec2e629cb7b7274ef1151f8e06671c1ae3",
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          "is_bot": false,
          "headline": "streaming fix (#3717) [skip ci]",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-07-08T08:08:35Z",
          "body_truncated": false,
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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",
          "body_truncated": false,
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          "oid": "5e920c741d2a5a753bc9e4612bf1ad909e5d598e",
          "body": null,
          "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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        {
          "oid": "2e5caca2fd51c91f55acdfbcbff66226a5ddbae2",
          "body": null,
          "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",
          "body_truncated": false,
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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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        {
          "oid": "122f13af8c0badd0d0a0135ef4335bff88dfe72b",
          "body": "Co-authored-by: Your Name <you@example.com>",
          "is_bot": false,
          "headline": "bumo trl (#3784)",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-07-05T04:39:22Z",
          "body_truncated": false,
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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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        },
        {
          "oid": "8b1f7c15fe2e42d3cc5ea57452c6105f715bc6e0",
          "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",
          "committed_at": "2026-07-04T06:39:39Z",
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        },
        {
          "oid": "8c42d32268a52b27bb8f97d1fbabc21b293e2b91",
          "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",
          "body_truncated": false,
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          "oid": "c35810da5294f36a45dab968fbb59f8d1a13c473",
          "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",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "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",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "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",
          "body_truncated": false,
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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",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "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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          "body": "…#3779)",
          "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,
          "is_coding_agent": false
        },
        {
          "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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        },
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          "oid": "bf0e7e204f1c6f41c7fbbc474ba2a02cd3e0af2b",
          "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",
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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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        },
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          "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",
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        },
        {
          "oid": "7379c1cc71d8e100bdb1ce94dffd3ca01a3a7909",
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          "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,
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        },
        {
          "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",
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        },
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          "oid": "f3be6690490ced965bfbadcbc86462ee36e00201",
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          "headline": "feat: add httpx (#3770)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-01T13:41:53Z",
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        },
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          "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",
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          "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",
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        },
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          "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",
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        {
          "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",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "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
        },
        {
          "oid": "b99ae0921338ca747990bfef4b6daa9258bc60b9",
          "body": "* fix: make NF4 dequantize torch.compile-safe via local custom_op\n\nWrap the Unsloth-derived NF4 dequant fast path in a torch.library.custom_op\n(axolotl::nf4_dequantize) with a register_fake impl. dequantize() branches on\ntorch.compiler.is_compiling(): eager calls the ctypes body directly (zero\nop-di\n[…]\n) call) and drops the `global` keyword\nsince the dict is mutated in place, never rebound.\n\n* fix broken MX tests from transformers 5.8.1 upgrade\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
          "is_bot": false,
          "headline": "perf: expand torch.compile coverage to 4bit dequant (#3677)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-08T00:50:26Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ed761c6ddad37b5a55c41cc2680708ce7b8fde6f",
          "body": null,
          "is_bot": false,
          "headline": "build docker uv images w torch 2.11 and 2.12 (#3715)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-07T19:05:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "45a17e925172157a3cdc268c087ce724b9cdd13a",
          "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).",
          "is_bot": false,
          "headline": "perf(scattermoe): Blackwell sm120 MoE-LoRA — EP sentinel-skip, fused …",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-07T17:16:21Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "edcbeb7888b5e94bad2a2379b92fadc25df0fdfc",
          "body": "…ge-E MoEs (#3712)\n\n* perf(scattermoe-lora): grouped-Gram dA/dB + sync-free dX_lora for large-E MoEs\n\nThe dA/dB split kernel recomputes XA=X@A^T (resp. YB=dY@B) in registers once per\noutput dim-block to avoid materializing it; and the non-fused dX_lora path is a\nPython per-expert loop with an expert\n[…]\nl for an MX base vs its bf16 dequantization at a workload above the\nfuse-gather threshold (new regression test). #1 (sonicmoe materialize) is already\non main via baddbmm.\n\n* chore: lint\n\n* chore: lint",
          "is_bot": false,
          "headline": "perf(scattermoe-lora): grouped-Gram dA/dB + sync-free dX_lora for lar…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-07T06:36:10Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "69f6d8bab251026470163c887c04eacb6f1a9a81",
          "body": "* perf(lora-kernels): fuse matmul_lora add via in-place addmm_\n\nmatmul_lora computed out += s * X_lora @ A @ B, which materializes a\nfull [M, out_features] LoRA temporary before the add. Replace with\nout.addmm_(X_lora @ A, B, alpha=s): the X_lora @ A intermediate is only\n[M, rank], no [M, out_featur\n[…]\neverts commit d95991e6160aeefa8ab0221ef7d33b492d0ea254.\n\n* Revert \"fix(tests): make HF-throttled tests offline-safe via prefetch + cache\"\n\nThis reverts commit d25b7a178df17149ef9274f84cc989fa0439d6d6.",
          "is_bot": false,
          "headline": "lora kernel memory improvement (#3704)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-05T18:33:44Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e13bf168242631f1b8f11ec9fc279363e0960640",
          "body": "…er tests (#3705) [skip ci]\n\nThe Python 3.12 PyTest legs run ~2x slower than 3.14 on the same test set\n(816s vs 403s) and were tipping over the 30-minute job timeout. Two causes,\nboth in the slow tail:\n\n- dataset_num_proc=4 forks 4 dataset workers per .map() on CPU-only runners,\n  each re-importing \n[…]\nker at the end. Move shared fixtures to\n  tests/core/conftest.py and split the RL trainer-builder tests into\n  test_builders_rl.py so they run on a separate worker from the SFT/reward\n  builder tests.",
          "is_bot": false,
          "headline": "test(ci): cut CPU test tail — drop dataset_num_proc to 1, split build…",
          "author_name": "Wing Lian",
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            "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)",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "openssf_scorecard_pinned_dependencies"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 76,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                ".mypy.ini"
              ],
              "agent_commit_share": 0.03,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.05
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": ".mypy.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".mypy.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "3 of the last 100 commits agent-authored or agent-credited",
                "points": 6,
                "status": "partial",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 3,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "5 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 5,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "internal error: internal error: invalid Dockerfile",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 136466,
              "source_files_sampled": 901,
              "oversized_source_files": 12
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (.mypy.ini)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": ".mypy.ini",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "12/901 source files over 60KB",
                "points": 54.3,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 901,
                      "oversized": 12
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "deps.dev does not index pypi:axolotl@0.18.0; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-22T04:17:49.684828Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/axolotl-ai-cloud/axolotl.svg",
  "full_name": "axolotl-ai-cloud/axolotl",
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  "license_spdx": "Apache-2.0"
}

Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.26.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.