Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
modelscope/ms-swift tiene un índice de salud de 84 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (100/100) y la más baja, AI Readiness (39/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
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.
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.
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | ms_swift | 4.4.1 | 103.348 | 130 | hace 2 días | transformersllmloramegatrongrposft |
¿Está vivo el proyecto: se escribe código y se publican versiones?
| 36/36 | Recencia de push — último push hace 0 días |
| 36/36 | Cadencia de commits — 52/52 semanas con commits |
| 18/18 | Volumen de commits — 1388 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 1388 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
| 27/27 | Publica versiones — 100 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 2 días |
| 27/27 | Cadencia de publicación — una versión cada ~8,7 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
| releases_count | 100 |
| latest_release_tag | v4.4.1 |
| releases_from_tags | no |
| days_since_latest_release | 2 |
| mean_days_between_releases | 8,7 |
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
| 60/60 | Estrellas — 14.813 estrellas |
| 25/25 | Forks — 1529 forks |
| 9.4/15 | Observadores — 50 observadores |
| forks | 1529 |
| stars | 14.813 |
| watchers | 50 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | sí |
| 66.9/80 | Descargas mensuales — 103.348 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
| packages | ms_swift |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 103.348 |
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 9.5/22.5 | Distribución de commits — el principal contribuyente firma el 58% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 100 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations |
| bus_factor | 1 |
| contributors_sampled | 100 |
| top_contributor_share | 0,577 |
| 41/46.8 | Resolución de issues — 88% de issues cerradas |
| 35.6/38.3 | Aceptación de PR — 3396/3653 PR decididos fusionados |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
| merged_prs | 3396 |
| open_issues | 617 |
| closed_issues | 4457 |
| issue_closed_ratio | 0,878 |
| closed_unmerged_prs | 257 |
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 25/25 | Alcance del propietario — 6291 seguidores de modelscope |
| 20.4/25 | Trayectoria — 51 repos públicos, cuenta de ~3 años |
| followers | 6291 |
| owner_type | Organization |
| is_verified | — |
| owner_login | modelscope |
| public_repos | 51 |
| account_age_days | 1450 |
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 2 días |
| 20/20 | Historial de versiones — 130 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
| packages | ms_swift |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2 |
¿Existen unas prácticas mínimas de ingeniería y documentación?
| 24/24 | Flujos de trabajo de CI — 5 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://swift.readthedocs.io/zh-cn/latest/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 20 topics |
| 10/10 | Wiki |
| topics | deepseek-r1, embedding, grpo, internvl, liger, llama, llama4, llm, lora, megatron, moe, multimodal, open-r1, peft, qwen3, qwen3-6, qwen3-omni, qwen3-vl, reranker, sft |
| has_wiki | sí |
| homepage | https://swift.readthedocs.io/zh-cn/latest/ |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 8 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 1.5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 6.8/7.5 | Vulnerabilities — 1 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 5,5 |
¿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.
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 0/40 | Historial de commits legible — sin datos |
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 18/18 | Arranque con un solo comando — Makefile, docs/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 0/8 | Mantenimiento automatizado — sin datos |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 54.3/55 | Tamaños de archivo manejables — 9/683 archivos fuente de más de 60 KB |
| primary_language | Python |
| largest_source_bytes | 131.785 |
| source_files_sampled | 683 |
| oversized_source_files | 9 |
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples, notebooks, sample |
| example_dirs | examples, notebooks, sample |
| has_mcp_signal | no |
| api_schema_files | — |
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | Branch-Protection | 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 |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 24/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 8 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 3 | Security-Policy | security policy file detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 9 | Vulnerabilities | 1 existing vulnerabilities detected |
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 62 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | accelerate | — | indirecta |
| PyPI | addict | — | indirecta |
| PyPI | aiohttp | — | indirecta |
| PyPI | attrdict | — | indirecta |
| PyPI | binpacking | — | indirecta |
| PyPI | charset-normalizer | — | indirecta |
| PyPI | cpm-kernels | — | indirecta |
| PyPI | dacite | — | indirecta |
| PyPI | datasets | — | indirecta |
| PyPI | decorator | — | indirecta |
| PyPI | docutils | — | indirecta |
| PyPI | einops | — | indirecta |
| PyPI | evalscope | — | indirecta |
| PyPI | expecttest | — | indirecta |
| PyPI | fastapi | — | indirecta |
| PyPI | flake8 | — | indirecta |
| PyPI | gradio | — | indirecta |
| PyPI | importlib-metadata | — | indirecta |
| PyPI | isort | — | indirecta |
| PyPI | json-repair | — | indirecta |
| PyPI | matplotlib | — | indirecta |
| PyPI | mcore-bridge | — | indirecta |
| PyPI | megatron-core | — | indirecta |
| PyPI | modelscope | — | indirecta |
| PyPI | myst-parser | — | indirecta |
| PyPI | nltk | — | indirecta |
| PyPI | numpy | — | indirecta |
| PyPI | openai | — | indirecta |
| PyPI | oss2 | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | peft | — | indirecta |
| PyPI | pillow | — | indirecta |
| PyPI | pre-commit | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | pyyaml | — | indirecta |
| PyPI | ray | — | indirecta |
| PyPI | recommonmark | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | rouge | — | indirecta |
| PyPI | safetensors | — | indirecta |
| PyPI | scipy | — | indirecta |
| PyPI | sentencepiece | — | indirecta |
| PyPI | simplejson | — | indirecta |
| PyPI | sortedcontainers | — | indirecta |
| PyPI | sphinx | — | indirecta |
| PyPI | sphinx-book-theme | — | indirecta |
| PyPI | sphinx-copybutton | — | indirecta |
| PyPI | sphinx-markdown-tables | — | indirecta |
| PyPI | sphinx-rtd-theme | — | indirecta |
| PyPI | sphinxcontrib-mermaid | — | indirecta |
| PyPI | swanlab | — | indirecta |
| PyPI | tensorboard | — | indirecta |
| PyPI | tiktoken | — | indirecta |
| PyPI | torchaudio | 2.7.1 | indirecta |
| PyPI | torchvision | 0.22.1 | indirecta |
| PyPI | tqdm | — | indirecta |
| PyPI | transformers | — | indirecta |
| PyPI | transformers-stream-generator | — | indirecta |
| PyPI | trl | — | indirecta |
| PyPI | uvicorn | — | indirecta |
| PyPI | yapf | 0.30.0 | indirecta |
| PyPI | zstandard | — | indirecta |
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"notes": [],
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{
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"key": "openssf_scorecard_contributors",
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{
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{
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},
{
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{
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{
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{
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{
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},
{
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{
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"details": [],
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{
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{
"key": "topics",
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{
"key": "wiki",
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],
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{
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{
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{
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{
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{
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{
"key": "code_review",
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},
{
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"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
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"points": 0,
"status": "missed",
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},
{
"key": "fuzzing",
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"points": 0,
"status": "missed",
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},
{
"key": "license",
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{
"key": "maintained",
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{
"key": "packaging",
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{
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{
"key": "sast",
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{
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{
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{
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
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"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
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"components": [
{
"key": "policy_exposure_multiplier",
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"details": [
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}
],
"max_points": 100
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
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"name": "AI Readiness",
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"weight": 0,
"metrics": [
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{
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{
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},
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{
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],
"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."
}
],
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},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-15T05:14:28.272241Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/modelscope/ms-swift.svg",
"full_name": "modelscope/ms-swift",
"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 v0.11.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.