asmllm1.8-v1-instruct
A specialized language model for comprehensive understanding of Assam, India
Optimized for efficiency on constrained hardware
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 
