Khurram123/Shaheen-3B-Kulliyat-e-Iqbal
Khurram123/Shaheen-3B-Kulliyat-e-Iqbal is a 3.1 billion parameter Large Language Model built on the Qwen 2.5 3B Instruct architecture, specifically fine-tuned on the complete poetic works of Allama Muhammad Iqbal. This model specializes in interpreting, explaining, and contextualizing Iqbal's philosophical concepts like Khudi and Ishq in both Urdu and Persian. It is optimized for efficient inference on consumer-grade hardware, providing deep insights into Iqbaliyat.
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Shaheen-Qwen2.5-3B-Kulliyat-e-Iqbal: Specialized Iqbaliyat LLM
Khurram123's Shaheen-Qwen2.5-3B-Kulliyat-e-Iqbal is a 3.1 billion parameter Large Language Model, fine-tuned on the Qwen 2.5 3B Instruct architecture. Its core purpose is to provide in-depth understanding and explanation of the philosophical and poetic works of Allama Muhammad Iqbal, covering both his Urdu and Persian writings.
Key Capabilities
- Specialized Knowledge: Deeply trained on 11 major Urdu and Persian books by Allama Iqbal, using the Kulliyat-e-Iqbal Shaheen Dataset (11,659 instruction-response pairs).
- Bilingual Proficiency: Capable of interpreting and explaining Persian (Farsi) couplets in simple Urdu.
- Philosophical Insight: Optimized to discuss and clarify core Iqbalian concepts such as Khudi (Selfhood), Ishq (Divine Love), and Shaheen (The Eagle).
- Efficiency: A lightweight 3 billion parameter model, fine-tuned with 4-bit LoRA using Unsloth, ensuring fast inference on consumer-grade hardware like the RTX 4060 Ti with minimal VRAM usage.
Good For
- Researchers and students studying Allama Iqbal's philosophy and poetry.
- Applications requiring contextual understanding and explanation of Iqbaliyat in Urdu and Persian.
- Developing conversational AI focused on classical South Asian literature and philosophy.