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 — 63 sourced entries (v0.9.0) with verification gates and bilingual JSON. Works alongside Awesome-Persian-LLM, MIZAN, PartAI, and the teams who build these models.
Community-maintained · sourced · machine-readable · online-first.
Stats (v0.9.0)
| Count | |
|---|---|
| Total entries | 63 |
| Verified | 48 |
| Measured | 15 |
| PyPI | persian-llm-reference 0.9.0 |
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 |
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 |
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)
- Repo: github.com/sinakazemnezhad/persian-llm-reference
- Enable GitHub Pages → source: GitHub Actions
- Push
mainbranch - 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-pypiworkflow (trusted publishing). Seedocs/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.
Cite
@misc{persian_llm_reference,
title={Persian LLM Reference — Open Atlas},
author={{Persian LLM Reference maintainers}},
year={2026},
version={0.9.0},
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.
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