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| # Haman Labs | |
| ### Open, graph-native infrastructure for Persian AI | |
| Haman Labs is the AI research and open-source engineering lab of [Aria Haman Mehr Parseh](https://ariahaman.ir/en/). We build Persian-first infrastructure that transforms raw text into language graphs, graph-aware language models, reproducible datasets, and extensible AI products. | |
| **Haman Labs is home to [Rakhshai Graph-based NLP (RGN)](https://github.com/bazpardazesh-org/Rakhshai-Graph-based-NLP), Iran’s first integrated graph-oriented NLP project for Persian, and [Haman Persian Article Graph-LLM 125M](https://huggingface.co/aria-haman/haman-fa-article-graph-llm-125m), the first Iranian LLM built with an [Iranian-produced architecture](https://github.com/bazpardazesh-org/Rakhshai-Graph-based-NLP).** | |
| ## What we build | |
| ### Rakhshai Graph-based NLP (RGN) | |
| An open-source, graph-native platform for Persian natural language processing. RGN provides a coherent path from Persian text preparation and multi-relation graph construction to graph learning, language-model training, evaluation, inference, Python APIs, CLI tools, and MCP integration. | |
| - [Source code](https://github.com/bazpardazesh-org/Rakhshai-Graph-based-NLP) | |
| - [Documentation](https://github.com/bazpardazesh-org/Rakhshai-Graph-based-NLP/tree/main/docs) | |
| ### Haman Persian Article Graph-LLM 125M | |
| A native Persian language model developed for structured article generation. The model accepts a topic, audience, tone, and section count and produces structured output in Markdown or JSON. | |
| Its Iranian-produced architecture combines a decoder-only Transformer with a GCN over a corpus-level lexical graph and context-gated fusion between graph and token representations. Its tokenizer, graph, training workflow, and model weights were built for Persian, with training starting from random initialization. | |
| - [Model card and weights](https://huggingface.co/aria-haman/haman-fa-article-graph-llm-125m) | |
| - [Training dataset](https://huggingface.co/datasets/aria-haman/haman-fa-wikipedia-articles-186k) | |
| - [Training notebook](https://colab.research.google.com/drive/1E50ISg1ANoW_rrFeRNBRcDn6C0cwfLyT?usp=sharing) | |
| ### Haman Persian Wikipedia Articles 186K | |
| A dataset of approximately 186,000 Persian Wikipedia articles prepared to support reproducible Persian article-model training and experimentation. | |
| ## Our approach | |
| - **Persian-first:** Built around Persian language, data, and linguistic needs. | |
| - **Graph-native:** Relations, context, and structure are part of the modeling path. | |
| - **Open and inspectable:** Source code, documentation, datasets, and workflows are available to the community. | |
| - **Research to product:** A foundation for researchers, developers, AI agents, and production systems. | |
| --- | |
| ## دربارهٔ آزمایشگاه هامان | |
| آزمایشگاه هوش مصنوعی هامان، واحد پژوهش و توسعهٔ متنباز شرکت دانشبنیان نرمافزاری آریا هامان مهر پارسه است. ما زیرساختهایی میسازیم که رابطهٔ میان واژهها، جملهها و اسناد فارسی را به بخشی از هوشمندی مدل تبدیل میکنند. | |
| **آزمایشگاه هامان خانهٔ [Rakhshai Graph-based NLP (RGN)](https://github.com/bazpardazesh-org/Rakhshai-Graph-based-NLP)، نخستین پروژهٔ ایرانی یکپارچهٔ NLP گرافمحور برای زبان فارسی، و مدل [Haman Persian Article Graph-LLM 125M](https://huggingface.co/aria-haman/haman-fa-article-graph-llm-125m)، نخستین LLM ایرانی ساختهشده با [معماری تولید ایرانی](https://github.com/bazpardazesh-org/Rakhshai-Graph-based-NLP)، است.** | |
| هدف ما توسعهٔ فناوری فارسیمحور، دانش باز و ابزارهایی است که مسیر میان پژوهش، مدل زبانی و محصول را برای جامعهٔ فارسیزبان کوتاهتر میکنند. | |
| ## Links | |
| - [Haman Labs](https://hamanlabs.ir/) | |
| - [GitHub](https://github.com/bazpardazesh-org) | |
| - [Hugging Face model](https://huggingface.co/aria-haman/haman-fa-article-graph-llm-125m) | |
| - [Hugging Face dataset](https://huggingface.co/datasets/aria-haman/haman-fa-wikipedia-articles-186k) | |
| - [Aria Haman Mehr Parseh](https://ariahaman.ir/en/) |