# asmllm1.8-v1-instruct **A specialized language model for comprehensive understanding of Assam, India** *Optimized for efficiency on constrained hardware* [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) ## Overview asmllm1.8-v1-instruct is a 1.8 billion parameter language model specifically designed to provide accurate, culturally relevant information about the Indian state of Assam. Developed for practical deployment on consumer-grade hardware (tested on RTX 2050), this model offers: - Culturally-aware responses about Assam - Efficient resource utilization - Clear, concise answer formulation - Broad coverage of Assam-related topics ## Key Features - **Hardware Efficiency**: Optimized for deployment on laptops and mid-range GPUs - **Cultural Context**: Trained on Assam-specific data corpus - **Practical Focus**: Prioritizes clarity over unnecessary complexity - **Diverse Knowledge Base**: Covers geography, history, economy, and culture ## 🗃️ Training Data Curated dataset of 2,000 records on the state of Assam,India covering: 🌄 **Geography** - Physical features - Climate patterns - Natural resources 🎨 **Cultural Heritage** - Traditional festivals (Bihu, Ambubachi Mela) - Indigenous arts and crafts - Local dialects and literature 💼 **Economic Landscape** - Tea production - Oil and natural gas reserves - Agricultural practices 🏰 **Historical Context** - Ancient kingdoms (Kamarupa, Chutiya) - Colonial history (British era) - Architectural landmarks (Kamakhya Temple, Rang Ghar) 🎓 **Educational Framework** - Major institutions - Educational initiatives ## ⚙️ Model Specifications | Parameter | Value | |----------------------|--------------------| | 🧠 **Architecture** | Transformer-based | | 🔢 **Parameters** | 1.8B | | 📜 **Context Window**| 1000 tokens | | 🎯 **Precision** | bfloat16 | | 💻 **Hardware** | RTX 2050 (4GB VRAM)| ## 👨💻 Developed By **Name:** Anand Dey **Role:** Developer **Contact:** [📧 ananddey.nic@gmail.com](mailto:ananddey.nic@gmail.com)