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Persian LLM Reference

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

مرجع جهانی مدل‌های زبانی فارسی

The open global atlas for Persian (Farsi) language models — 61 sourced entries (v0.5.0) with verification gates and bilingual JSON.

Not a personal notebook. Not a local mirror. Online-first · community-maintained · machine-readable.

Stats (v0.5.0)

Count
Total entries 61
Verified 48+
Measured 13
PyPI persian-llm-reference 0.5.0

Why this repo exists

Existing references What they lack What PLR adds
Awesome Persian LLM Links rot; no schema Structured records + verification gates
Leaderboards (MIZAN, PartAI) Scores only; no corpus law Model + dataset + benchmark in one manifest
Hugging Face search No Persian-native taxonomy Script · corpus · curriculum · literary axes
Papers Scattered Indexed with asOf dates and primary URLs

Discovery credit: Awesome-Persian-LLM by Mohammad Heydari — verified entry awesome-persian-llm · ECOSYSTEM.md.

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
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 How we beat 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

indexedverifiedmeasuredcorpus-documentedliterary

No invented scores. null until a primary source exists.

Cite

@misc{persian_llm_reference,
  title={Persian LLM Reference — Global Atlas},
  author={{Persian LLM Reference maintainers}},
  year={2026},
  version={0.5.0},
  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}
}

Also see CITATION.cff for machine-readable 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.

Download files

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