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Persian LLM Reference

Local path: ~/Desktop/PERSIAN-LLM-REFERENCE/ — this folder is the git repo root for GitHub.

مرجع مدل‌های زبانی فارسی

The open atlas for Persian (Farsi) language models — 72 sourced entries (v0.13.1) with verification gates, decision presets, gap mapping, normalized measured receipts, and bilingual JSON. Works alongside Awesome-Persian-LLM, MIZAN, PartAI, and the teams who build these models.

Community-maintained · sourced · machine-readable · online-first.

Related evaluation kit (same author): agent-security-bench — Agent Security Evaluation Kit. Walkthrough: docs/SCORE_AGENT_WITH_ASB.md.

Stats (v0.13.1)

Count
Total entries 72
Verified 47
Measured 25
Gap-tagged rows 72
Stable API /api/v1/reference.json
PyPI persian-llm-reference 0.13.1
About /about/

How PLR fits the ecosystem

Resource What it offers What PLR adds alongside
Awesome Persian LLM Curated discovery links Structured records + verification gates
Leaderboards (MIZAN, PartAI) Benchmark scores Links to leaderboards inside one manifest
Hugging Face search Model hosting + cards Persian taxonomy · corpus · script fields
Papers & repos Primary artifacts Indexed rows with asOf dates and cite URLs

Upstream discovery: Awesome-Persian-LLM — verified community index awesome-persian-llm · ECOSYSTEM.md. Bibliographic link only — not an endorsement or partnership.

Live surfaces (after deploy)

Surface URL
Atlas UI https://sinakazemnezhad.github.io/persian-llm-reference
PyPI (Python client) https://pypi.org/project/persian-llm-reference/
Manifest JSON /data/reference-manifest.json
Stable API v1 /api/v1/reference.json (alias of canonical manifest)
Raw manifest (cite in papers) https://raw.githubusercontent.com/sinakazemnezhad/persian-llm-reference/main/data/reference-manifest.json
Source radar (field gaps + forecast) /data/source-radar.json
Agent discovery /.well-known/persian-llm-reference.json

Repository layout

Path Role
data/reference-manifest.json SSOT — all models, datasets, benchmarks
workspace/public/ Static site (GitHub Pages root after build)
governance/MANIFEST_LAW.md Taxonomy + verification gates
governance/METHODOLOGY.md Trust, axes, cite policy
governance/POSITIONING.md What PLR is — alongside other references
governance/ROADMAP.md Full phased plan — meaningful · usable · productive · smart
docs/PYPI_TRUSTED_PUBLISHING_SETUP.md PyPI OIDC publish (sourcea-boot pattern)
pyproject.toml Python package · pip install persian-llm-reference

GitHub setup (required)

  1. Repo: github.com/sinakazemnezhad/persian-llm-reference
  2. Enable GitHub Pages → source: GitHub Actions
  3. Push main branch
  4. Site: https://sinakazemnezhad.github.io/persian-llm-reference

Python client (PyPI)

Same pattern as sourcea-boot · pypi.org/project/sourcea-boot.

pip install persian-llm-reference
plr stats
plr get persianmind-v1
plr cite
plr validate

Editable install from repo root:

cd workspace && node scripts/sync-python-manifest.mjs
pip install -e .
  • Python client: MIT (LICENSE-MIT)
  • Registry metadata: CC-BY-4.0 (LICENSE)
  • Publish: GitHub Release → publish-pypi workflow (trusted publishing). See docs/PYPI_TRUSTED_PUBLISHING_SETUP.md.

Build & verify

cd workspace
npm run build    # validate + copy manifest to public/
npm run e2e      # local server smoke

Verification gates

indexed → verified → measured → corpus-documented → literary

No invented scores. null until a primary source exists.

How to cite

PLR is a neutral evidence registry — cite the snapshot you used, not a ranking.

  1. Machine-readable: CITATION.cff (version, date-released, abstract, repository URL).
  2. BibTeX (copy for papers):
@misc{persian_llm_reference,
  title={Persian LLM Reference — Open Atlas},
  author={{Persian LLM Reference maintainers}},
  year={2026},
  version={0.13.0},
  url={https://sinakazemnezhad.github.io/persian-llm-reference/},
  howpublished={\\url{https://raw.githubusercontent.com/sinakazemnezhad/persian-llm-reference/main/data/reference-manifest.json}},
  note={Check manifest generatedAt for snapshot date; measured rows include benchmark, metric, source, and conditions}
}
  1. API consumers: pin GET /api/v1/reference.json or the raw manifest URL — same schema, same evidence semantics.

Also see CITATION.cff for Citation File Format metadata.

Contributing

One PR = one entry + primary source URL. See governance/CONTRIBUTING.md.

License

Manifest metadata and docs: CC-BY-4.0. Each model entry retains its own license.

Metadata

Release files for persian-llm-reference 0.13.1

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PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 16, 2026.

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Release history Release notifications | RSS feed

This release

0.13.1 This release

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3.1

2 release files

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