Registro público
Informe de salud del softwareesquema 0.26.0 · métricas 1.13.0 · 2026-07-22 04:17 UTC

axolotl-ai-cloud / axolotl

Go ahead and axolotl questions

PythonApache-2.0★ 12.228 estrellas⑂ 1396 forksdesde abr 2023Ver en GitHub ↗

axolotl-ai-cloud/axolotl tiene un índice de salud de 85 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (99/100) y la más baja, Security (66/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

85
global / 100
Excelente

Índice de salud del software

Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.

85
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

Perfil de puntuación

Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.

Titularidad

Axolotl AIOrganización
196 seguidores22 repositorios públicosdesde abr 2024

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPIaxolotl0.18.0-27hace 4 días

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

99Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
35.3/36Cadencia de commits — 51/52 semanas con commits
18/18Volumen de commits — 589 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year589
human_commit_share0,95
days_since_last_push0
active_weeks_last_year51
Cómo se puntúa
27/27Publica versiones — 32 versiones publicadas
36/36Recencia de las versiones — última versión hace 4 días
27/27Cadencia de publicación — una versión cada ~37 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count32
latest_release_tagv0.18.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases37
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

94Excelente · 18% del índice global
Cómo se puntúa
60/60Estrellas — 12.228 estrellas
25/25Forks — 1396 forks
9.8/15Observadores — 58 observadores
Datos de entrada utilizados
forks1396
stars12.228
watchers58
growth_stateorganic
growth_factor_pct100
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
has_pull_request_template

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

69Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
10.2/22.5Distribución de commits — el principal contribuyente firma el 55% de los commits
13.5/13.5Amplitud de contribuyentes — 98 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled98
top_contributor_share0,548
Cómo se puntúa
41.4/46.8Resolución de issues — 88% de issues cerradas
34.3/38.3Aceptación de PR — 2279/2545 PR decididos fusionados
6/15OpenSSF Scorecard: Code-Review — Found 11/25 approved changesets -- score normalized to 4
Datos de entrada utilizados
merged_prs2279
open_issues115
closed_issues882
issue_closed_ratio0,885
closed_unmerged_prs266
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
16.5/25Alcance del propietario — 196 seguidores de axolotl-ai-cloud
14.4/25Trayectoria — 22 repos públicos, cuenta de ~2 años
Datos de entrada utilizados
followers196
owner_typeOrganization
is_verified
owner_loginaxolotl-ai-cloud
public_repos22
account_age_days823
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 4 días
20/20Historial de versiones — 27 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesaxolotl
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

96Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 12 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
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
Datos de entrada utilizados
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://docs.axolotl.ai
10/10Descripción del repositorio
10/10Topics — 2 topics
10/10Wiki
Datos de entrada utilizados
topicsfine-tuning, llm
has_wiki
homepagehttps://docs.axolotl.ai
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

66Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
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
2.5/2.5Licencia — 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 — sin datos
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 — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6,7
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, pinned_dependencies, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
12/35Dependencias directas libres de avisos conocidos — 2 afectados: gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6)
0/25Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
34.3/40Sin avisos pendientes — 1 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 92 días
Datos de entrada utilizados
sourceosv
advisories7
affected_packages2
assessed_packages41
unassessed_packages18
affected_by_severityhigh 1, moderate 1
direct_affected_packages2
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos. Los pesos restantes se han renormalizado. Se cotejaron 41 dependencias resueltas con OSV. 18 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido o fuera de la lista de paquetes informada. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. No se analiza la alcanzabilidad.

Preparación para IA

¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.

74Bueno · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 92 de 95 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,968
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes6229
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — .mypy.ini
10/10Entorno reproducible — Dockerfile
6/10Práctica demostrada con agentes — 3 de los últimos 100 commits con autoría o crédito de agente
8/8Mantenimiento automatizado — 5 de los últimos 100 commits son actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs.mypy.ini
agent_commit_share0,03
toolchain_manifests
dependency_bot_commit_share0,05
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Pinned-Dependencies. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (.mypy.ini)
54.3/55Tamaños de archivo manejables — 12/901 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes136.466
source_files_sampled901
oversized_source_files12
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples, notebooks
Datos de entrada utilizados
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files

Datos clave

12.228estrellas de GitHub
98contribuidores
589commits en los últimos 12 meses
0días desde el último push
32versiones publicadas
1factor bus
115issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

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

Más detalle

Historial de estrellas y forks 12.228 ★ / 1396 ⇿
12.228Estrellas
1396Forks
27Versiones

Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.

Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.

025005000750010.00012.50012.2281396592024-022025-052026-07
Mayor 0Menor 14Parche 11

Cada punto abarca 3 días.

OpenSSF Scorecard 6.7 / 10
6.7agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-22 04:17 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-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
n/dPinned-Dependenciesinternal error: internal error: invalid Dockerfile
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Dependencias directas 58
RegistroPaqueteRestricción de versiónManifiesto
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
Todas las dependencias 59

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 58 paquetes directos y 1 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIaccelerate1.13.0directa
PyPIaddictdirecta
PyPIadlfs2026.2.0directa
PyPIantlr4-python3-runtime4.13.2directa
PyPIartdirecta
PyPIaxolotl-contribs-lgpl0.0.7directa
PyPIaxolotl-contribs-mit0.0.6directa
PyPIbitsandbytes0.49.1directa
PyPIcoloramadirecta
PyPIdatasets4.8.4directa
PyPIeinopsdirecta
PyPIevaluate0.4.1directa
PyPIfastcoredirecta
PyPIfiredirecta
PyPIfla-core0.4.1directa
PyPIflash-linear-attention0.4.1directa
PyPIgcsfs2025.10.0directa
PyPIgradio6.10.0directa
PyPIhf-transferdirecta
PyPIhf-xet1.4.3directa
PyPIhuggingface-hub1.17.0directa
PyPIimmutabledict4.2.0directa
PyPIkernels0.15.2directa
PyPIlangdetect1.0.9directa
PyPIliger-kernel0.8.0directa
PyPIlm-eval0.4.11directa
PyPImistral-common1.11.5directa
PyPImodal1.3.0.post1directa
PyPInumbadirecta
PyPInumpydirecta
PyPInvidia-ml-py12.560.30directa
PyPIocifs1.3.2directa
PyPIopenenv-core0.1.0directa
PyPIoptimum1.16.2directa
PyPIpackaging26.0directa
PyPIpeft0.19.1directa
PyPIposthog6.7.11directa
PyPIpydantic2.12.5directa
PyPIpython-dotenv1.0.1directa
PyPIpyyaml6.0.3directa
PyPIrequestsdirecta
PyPIs3fs2025.10.0directa
PyPIschedulefree1.4.1directa
PyPIscipydirecta
PyPIsentencepiecedirecta
PyPItensorboarddirecta
PyPItokenizers0.22.2directa
PyPItorchdirecta
PyPItorchao0.17.0directa
PyPItrackio0.19.0directa
PyPItransformers5.14.1directa
PyPItritondirecta
PyPItrl1.8.0directa
PyPItyper0.25.1directa
PyPItyping-extensions4.15.0directa
PyPIwandbdirecta
PyPIxformersdirecta
PyPIzstandard0.22.0directa
PyPIrunpodindirecta
Avisos de dependencias 2

Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 41 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 2 tienen avisos conocidos, de los cuales 2 son directas. 18 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.

PaqueteVersiónRelaciónGravedadAvisosCorregido en
gradio6.10.0directaalta56.16.0
python-dotenv1.0.1directamoderada21.2.2

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
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          "tag": "v0.16.1",
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          "tag": "v0.16.0",
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        {
          "tag": "v0.15.0",
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        {
          "tag": "v0.14.0",
          "kind": "minor",
          "published_at": "2026-01-30T19:10:53Z"
        },
        {
          "tag": "v0.13.2",
          "kind": "patch",
          "published_at": "2026-01-22T15:59:13Z"
        },
        {
          "tag": "v0.13.1",
          "kind": "patch",
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          "headline": "fix(moe): promote expert offsets to int64 in scattermoe/nvfp4 triton …",
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          "body": "Bumps [actions/checkout](https://github.com/actions/checkout) from 4.3.1 to 7.0.0.\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/actions/checkout/compare/34e114876b0b11c390a5638\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "is_bot": true,
          "headline": "build(deps): bump nwtgck/actions-netlify from 3.0.0 to 4.0.0 (#3810) …",
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          "is_bot": false,
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          "body": "…3826)\n\nliger-kernel 0.8.0 dispatches llama4, qwen3, and qwen3_moe natively via\nMODEL_TYPE_TO_APPLY_LIGER_FN, which plugin.py consults before its elif chain.\nBecause these three are not in axolotl_override_liger_fn, the generic native\npath always runs and the elif branches are dead code.\n\nNative 0.8\n[…]\n elif branches and their now-orphaned model modules. Flagged by\nthe liger-upstream-sync audit ([1] shadowed hand-patches); the audit is clean\n(exit 0) against the pinned liger 0.8.0 after this change.",
          "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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          "committed_at": "2026-07-11T08:41:40Z",
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          "headline": "fix: do not force trust remote code during preprocess (#3819)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-10T09:54:09Z",
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          "body": "…805)\n\nThe gating bmm in the ScatterMoE forward is autocast-eligible, so under\nbf16/fp16 autocast the autograd Function output takes the autocast dtype\nwhile the saved output_expanded (written by the autocast-unaware Triton\nkernel from fp32 input) stays fp32. Backward then evaluated fp32 @ bf16 in\nt\n[…]\nd_out to output_expanded.dtype at the\ntop of the gates branch in both ParallelLinear and ScatterMoELoRA so the\nwhole gates backward runs in a single dtype; it is a no-op when the dtypes\nalready match.",
          "is_bot": false,
          "headline": "fix(scattermoe): upcast gates-branch grad_out under bf16 autocast (#3…",
          "author_name": "Sung Hyun Cho",
          "author_login": "roycho96",
          "committed_at": "2026-07-09T17:22:58Z",
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          "body": null,
          "is_bot": false,
          "headline": "add torch 2.13 to base image build (#3816)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-09T17:21:10Z",
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          "is_bot": false,
          "headline": "Fix/lora attn kernel dropout gate (#3806)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-07-09T16:49:02Z",
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        },
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          "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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          "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,
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        },
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          "body": "* feat: add support matrix\n\n* fix: simplify\n\n* fix: simplify docs\n\n* docs: add support matrix link and remove em-dashes in readme",
          "is_bot": false,
          "headline": "feat(doc): add support matrix (#3782) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-09T11:03:10Z",
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          "oid": "c7e3e80e226c70fec26996a850b53fa2397c6742",
          "body": "…n attacks (#3760) [skip ci]\n\n* ci: pin all GitHub Actions to full commit SHAs to prevent supply-chain attacks\n\n* feat: add exact tags for ref\n\n---------\n\nCo-authored-by: XananasX7 <XananasX7@users.noreply.github.com>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "ci: pin all GitHub Actions to full commit SHAs to prevent supply-chai…",
          "author_name": "XananasX",
          "author_login": "XananasX7",
          "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",
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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",
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          "body": null,
          "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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        },
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          "oid": "8297b78b57a2fbafdec9b857a6a65081ba5c46b1",
          "body": "…ooleans (#3765) [skip ci]\n\n* fix(cli/vllm_serve): let explicit CLI False override config-enabled booleans\n\nenable_prefix_caching and enable_reasoning were combined with config values\nusing `cli or cfg`, so a config that enabled either option could not be\ndisabled from the CLI (`False or True` -> `T\n[…]\nlback into `or False`,\nshorten the explanatory comment, and collapse the two precedence tests\ninto one parametrized test to reduce bloat.\n\n* style: fix trailing newline at EOF (pre-commit)\n\n* test fix",
          "is_bot": false,
          "headline": "fix(cli/vllm_serve): let explicit CLI False override config-enabled b…",
          "author_name": "Tai An",
          "author_login": "Anai-Guo",
          "committed_at": "2026-07-08T08:08:00Z",
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          "oid": "3fa2cdc18121046a4bfb72bf45058ab2755e7484",
          "body": "…atches (#3778) [skip ci]\n\nDeepEP main restructured setup.py and removed the disable_nvshmem code\npath (deepseek-ai/DeepEP#664), so the two README patches no longer apply\n(patch failed: setup.py:19). v1.2.1 is the last release they apply to.\n\n- Ampere section: drop --depth 1 and add git checkout v1.2.1 (a shallow\n  clone cannot check out the tag)\n- Notes: state the v1.2.1 pin is required; remove the build-from-HEAD\n  guidance\n\nFixes #3766",
          "is_bot": false,
          "headline": "docs(expert_parallel): pin DeepEP to v1.2.1 for the DISABLE_NVSHMEM p…",
          "author_name": "trevorgordon981",
          "author_login": "trevorgordon981",
          "committed_at": "2026-07-08T07:31:32Z",
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          "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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        {
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          "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,
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        },
        {
          "oid": "61ae54d3cf378e59f41fbb9a4aa37931cac26fdc",
          "body": "…r (#3790)",
          "is_bot": false,
          "headline": "move some package installs up to base to make downstream builds faste…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-07-03T14:57:48Z",
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          "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",
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        },
        {
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          "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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          "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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          "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",
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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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        },
        {
          "oid": "f3be6690490ced965bfbadcbc86462ee36e00201",
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          "headline": "feat: add httpx (#3770)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-07-01T13:41:53Z",
          "body_truncated": false,
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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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        },
        {
          "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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          "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",
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        },
        {
          "oid": "ba940e9fb65ece88de53a4edf34d741fb226279e",
          "body": "* fix: drop non-uv docker builds\n\n* chore: delete dead images\n\n* chore: update docs\n\n* fix: remove old images\n\n* ci: add concurrency groups to cancel superseded runs\n\n* ci: add registry layer cache to docker image builds\n\n* ci: enable uv dependency caching in pytest jobs\n\n* docker: use buildkit uv c\n[…]\np pytest in image for running tests in pods\n\n* ci: stop running pre-commit in both lint and tests workflows\n\n* fix: incorporate upstream gemma4 fix into test\n\n* fix: add handling of nightly kernel fix",
          "is_bot": false,
          "headline": "fix: remove non-uv images and general docker improvements (#3740)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-24T14:05:45Z",
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        {
          "oid": "a6dd149f9919084ce4b213d23431eaca61f5046a",
          "body": "…s (#3751) [skip ci]\n\n* fix: avoid IndexError in metharme/reflection _tokenize on empty fields\n\nMetharmePromptTokenizingStrategy._tokenize and\nReflectionPromptTokenizingStrategy._tokenize index result[\"input_ids\"][-1]\nwithout the empty-result guard the base PromptTokenizingStrategy._tokenize\nalready\n[…]\n\nbase class. Added regression tests for both strategies.\n\n* Condense empty-result comment to one line\n\n* fix: cleanup pr and use smaller model\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix: avoid IndexError in metharme/reflection _tokenize on empty field…",
          "author_name": "Vineeth Sai",
          "author_login": "vineethsaivs",
          "committed_at": "2026-06-24T14:01:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3ad474c69ae519652a064a6cecf37a862a330050",
          "body": "* fix(dpo): make user_defined strategy work with custom field names and {system}\n\nThe user_defined DPO strategy built its default prompt/chosen/rejected\nformat strings from the configured field names (e.g. \"{my_chosen}\") but\ncalled str.format() with the canonical keywords (chosen=...). Any custom\nfi\n[…]\nne), explicit chosen/rejected formats, the\nnon-dict guard, and the loader path.\n\nFixes #2645\n\n* fix: clean up test and made test more specific\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix(dpo): user_defined strategy KeyError on custom field names (#3742)",
          "author_name": "Vineeth Sai",
          "author_login": "vineethsaivs",
          "committed_at": "2026-06-24T14:00:38Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "989c993767876d1efc3d36eb5d614dade4083480",
          "body": "… (#3739) [skip ci]\n\n* fix: correct NameError in _get_messages when JSON decodes to non-list\n\nWhen `messages` is a JSON string that decodes to a non-list value\n(e.g. a JSON object / dict), the assertion\n\n    assert isinstance(messages, list), (\n        f\"... got {type(message)}\"\n    )\n\nraises an Unb\n[…]\nug case), non-dict turn, invalid JSON, and missing field.\n\n* fix: simplified test\n\n---------\n\nCo-authored-by: JSap0914 <JSap0914@users.noreply.github.com>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix: correct NameError in _get_messages when JSON decodes to non-list…",
          "author_name": "JSap0914",
          "author_login": "JSap0914",
          "committed_at": "2026-06-24T14:00:10Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b3c9e07aec5779b622a27735db5071a18ba58996",
          "body": "* fix: stray wrapping in falcon h1\n\n* fix: regression after remove continue due to our analyzer\n\n* fix: deepseek following 3.1 template\n\n* fix: adopted upstream mistral templates\n\n* fix: multimodal handling\n\n* feat: future multimodal chat support\n\n* fix: reformat multi-line\n\n* fix: make analyzer same env as upstream transformers\n\n* fix: revert exaone4 given we now support continue\n\n* fix: coderrabbit comments\n\n* feat: add test for before/after template rendering",
          "is_bot": false,
          "headline": "fix(jinja): outdated template multi modal (#3736) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-24T13:59:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "00e6258ac7c59fb7de3590be78523c98ca9e3c10",
          "body": "…p ci]\n\n* fix dataset oom\n\n* lint T_T\n\n* fix: overflow for chunk size access and default min count\n\n* feat: add tests\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "Fix RAM OOM when loading large preprocessed SFT datasets (#3711) [ski…",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-06-24T13:58:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "df327bb32b95f366b2c3686ca0025410e20ba58c",
          "body": "…g .yml (#3710) [skip ci]\n\n* feat(fsdp): expose fsdp_config.min_num_params for SIZE_BASED_WRAP\n\nWire the FSDP_MIN_NUM_PARAMS env var from YAML so the size-based\nauto-wrap policy can be configured without setting the env var manually.\n\n* feat(fsdp): require min_num_params for SIZE_BASED_WRAP and enfo\n[…]\nting migration\nfixture now needs the field to pass validation.\n\n* feat: add test check SIZE_BASED_WRAP without min params\n\n* chore: update doc\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "feat(fsdp): expose fsdp's min_num_params for SIZE_BASED_WRAP in confi…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-24T13:56:36Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8eac710b2240be093e8f33644ef6a3e0887fd62b",
          "body": "…bnb) and DeepSeek-V4 on sm120/sm90/sm100 (#3747)\n\n---------\n\nCo-authored-by: Entrpi <entrpi@proton.me>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "feat(kernels): fast + low-memory MoE-LoRA for gemma4 (NVFP4/Marlin + …",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-24T13:10:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e86163dd332f3aad2f29de8fe44b6cfd5f74b22d",
          "body": "* feat: add interactive multi-turn chat mode (--chat) to inference CLI\n\n* fix: apply_chat_template returns BatchEncoding in transformers v5\n\n* docs: document interactive chat mode for inference\n\n* feat: diffusion turn generation for chat mode; fix fp8 probe on CPU-only torch\n\n* feat: suggest command\n[…]\nr counts and the\n  stored message, dropping the redundant full decode\n\n* refactor(chat): share the live thinking-tail FPS as a class constant\n\n* fix: interrupt cache race condition and parse edge case",
          "is_bot": false,
          "headline": "feat: add inference multi-turn chat interface (#3723)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-16T09:46:29Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "bc7e26538f470f103b900be67537cda5d5ff6a9d",
          "body": "* fix: fail early for CI if meet CUDA error\n\n* fix: switch to clean abort",
          "is_bot": false,
          "headline": "fix: fail early for CI if meet CUDA error (#3737) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-16T09:42:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fa7a66502d48f556c44910b9acb87124e2cc34af",
          "body": "…onfig (#3730) [skip ci]\n\n* fix: KTO user_defined dataset transform crashes on every documented config\n\nThe user_defined.default KTO strategy was broken in all configurations:\n\n- when completion_format was provided, the default was assigned to a\n  misnamed chosen_format variable only in the fallback\n[…]\nerage check\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n* fix: wrong pydantic type\n\n* feat: updated test to handle e2e validation\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix: KTO user_defined dataset transform crashes on every documented c…",
          "author_name": "Ayush",
          "author_login": "Ayushhgit",
          "committed_at": "2026-06-16T01:59:31Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "277d524b12b5585c53a65b3564c9d6ebdcf7b4a7",
          "body": "…param paths (#3733)",
          "is_bot": false,
          "headline": "feat(offload): hidden_states activation offloading + fix legacy/full-…",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-15T22:09:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a56fe869f9d9f82025cabd016dc2db7987cf1bbb",
          "body": null,
          "is_bot": false,
          "headline": "fix qwen chat3.5 (#3728) [skip ci]",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-06-15T08:06:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b02ee147a38c100da518294f56356df3ae09e5f6",
          "body": "…tent in qwen3_5 template (#3725) [skip ci]\n\nThe inline-<think> assistant branch reassigned content (stripping it to\nthe post-</think> answer) before reasoning_content was extracted from it.\nSince reasoning_content reads from the already-truncated content, the\nreasoning trace was dropped and the answer leaked into the <think> block.\nSwap the two set statements to match the official Qwen3.5 template order.",
          "is_bot": false,
          "headline": "fix(chat_templates): extract reasoning_content before reassigning con…",
          "author_name": "Tai An",
          "author_login": "Anai-Guo",
          "committed_at": "2026-06-15T08:04:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ac35190d8960c3434d7e82c77ac030f7b9c1575a",
          "body": "* fix version mismatch 4 pirate\n\n* add whitlist for collab\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
          "is_bot": false,
          "headline": "fix numpy version mismatch 4 pirate (#3662) [skip ci]",
          "author_name": "VED",
          "author_login": "ved1beta",
          "committed_at": "2026-06-15T08:04:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5ed506e79b190f2c8a92742cce04fd728270be70",
          "body": "* feat: update cce for new models\n\n* feat: update transformers\n\n* chore: remove dead code\n\n* feat: add liger for gemma4 unified\n\n* fix: hybrid attn for latest transformers\n\n* feat: add gemma4 unified following gemma4\n\n* chore: refactor old logger to axolotl get_logger\n\n* fix: update legacy env to ne\n[…]\nort simplenamespace for test\n\n* fix: update quarto to include all current scripts\n\n* fix: drop quarto doc entry for untracked deepseek_v4 module\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
          "is_bot": false,
          "headline": "Feat: add gemma4 unified (#3706)",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-15T02:31:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "22bcb9a773cb9de49bdcabca5be61c09b420b736",
          "body": "* feat(scattermoe-lora): multi-adapter (expert x tenant) LoRA path\n\nCo-train many LoRA adapters (\"tenants\") over one frozen expert stack: an MoE\ntoken carries the router's expert assignment AND a per-row tenant id, so the base\nexpert GEMM keys on expert while the LoRA keys on the combined (expert, t\n[…]\n error 8e-4 -> ~1e-7, matching the forward.\n\nAdds a multi-adapter regression test that disables TF32 and asserts tight fp32\nparity (dA/dB ~1e-7) -- would fail at ~1e-3 with the stale import-time copy.",
          "is_bot": false,
          "headline": "Multi-adapter MoE LoRA support (#3719)",
          "author_name": "Wing Lian",
          "author_login": "winglian",
          "committed_at": "2026-06-09T19:22:57Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a713e3c29508a78ccb6a24c65d65b0e393ca7a0a",
          "body": "…#3672)\n\n* perf(mm-mask): vectorized role-boundary scanner + fused process_labels\n\nFollow-up to #3625 reducing the cost of multimodal assistant-only masking:\n\n- Vectorized role-boundary scanner (_compute_role_keep_mask_vectorized):\n  precomputes start/end match positions in a single batched unfold p\n[…]\nx3-6k batches, widening with turn\nlength. Adds long-span / multi-end-marker parity fuzz that the original\nfiller<=200 generator under-exercised.\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
          "is_bot": false,
          "headline": "perf: faster multimodal assistant-only masking (vectorized scanner) (…",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-09T17:06:06Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ed10453742a8fe4fe6097b00657e2d22bcb2fe87",
          "body": "* feat(liger): bump liger-kernel to 0.8.0 and guard native dispatch overrides\n\nliger-kernel 0.8.0 adds native MODEL_TYPE_TO_APPLY_LIGER_FN entries for\nqwen3_5, qwen3_5_text, qwen3_5_moe, qwen3_5_moe_text, gemma4_text, ministral,\nand nemotron. plugin.py consults that registry before its own model bra\n[…]\n not in the pinned 0.8.0 release, so the warning now scopes the limitation to\n0.8.0 rather than implying it is fundamentally unsupported.\n\n* style(liger): collapse gemma4 RMSNorm docstring to one line",
          "is_bot": false,
          "headline": "Feat/liger 0.8.0 bump (#3713)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-09T06:35:46Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "56bfe6440a6d13e9eeef96eb0fa686e06c8884e2",
          "body": "* fix: gc_collect_steps not honored\n\nget_callbacks only wired GCCallback off the deprecated `gc_steps`, so setting\n`gc_collect_steps` on its own was silently ignored (`migrate_gc_steps` never\nback-fills `gc_steps`). Read `gc_collect_steps`, falling back to the deprecated\n`gc_steps`, and pass it through to GCCallback. Adds a wiring regression test.\n\n* style: apply ruff format to gc_steps wiring test",
          "is_bot": false,
          "headline": "fix: gc_collect_steps not honored (#3709) [skip ci]",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-09T06:32:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5a0dc637e5f76a77fe74db05340e84a0587e0e08",
          "body": "… ci]\n\nThe base trainer uses a SequentialSampler when curriculum_sampling is set, but\nthe GRPO sampler hardcoded shuffle=True, so curriculum_sampling was ignored and\nthe dataset was always shuffled. Wire shuffle to not curriculum_sampling, which\nmakes SequenceParallelRepeatRandomSampler emit indices in dataset order.\n\nFixes #2376",
          "is_bot": false,
          "headline": "Honor curriculum_sampling in AxolotlGRPOTrainer sampler (#3707) [skip…",
          "author_name": "Prathamesh Jadhav",
          "author_login": "lollinng",
          "committed_at": "2026-06-09T06:32:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2501b62d8559432fd7013ffe7a8326716a13bba5",
          "body": "* fix: tkps grad accu miscalculation\n\n* feat: add test",
          "is_bot": false,
          "headline": "fix: tkps grad accu miscalculation (#3699) [skip ci]",
          "author_name": "NanoCode012",
          "author_login": "NanoCode012",
          "committed_at": "2026-06-09T06:31:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "77706d1b4fa048697ce5113f4b80cabcffd73973",
          "body": "…dn't be flag as an warning (#3718)",
          "is_bot": false,
          "headline": "feat: when validating OptimizationValidationMixin, fsdp_version shoul…",
          "author_name": "Samuel Larkin",
          "author_login": "SamuelLarkin",
          "committed_at": "2026-06-09T00:41:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "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",
          "author_login": "winglian",
          "committed_at": "2026-06-04T17:14:15Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "41ef48facdf4b31c34879ff48adfb1176095be5f",
          "body": "The fused Gemma4 attention monkeypatch read and stored shared KV states\nby `kv_shared_layer_index`/`layer_idx`, but transformers 5.8 dropped the\n`kv_shared_layer_index` attribute and switched to keying `shared_kv_states`\nby `layer_type`. On the pinned transformers 5.9, any Gemma4 model with\n`num_kv_\n[…]\nxposes, keeping compatibility with both the old and new\nAPIs. Add a fused-attn regression with `num_kv_shared_layers > 0` so the\nshared-KV branch is actually exercised (existing tests defaulted to 0).",
          "is_bot": false,
          "headline": "fix(gemma4): key shared KV by layer_type on transformers >=5.8 (#3701)",
          "author_name": "thad0ctor",
          "author_login": "thad0ctor",
          "committed_at": "2026-06-04T12:35:03Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "09d325b4fd1288b1473c8a330dd19e3c91b1ac32",
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                    "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",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.26.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.