Initial upload of asmllm1.8-v1-instruct model
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README.md
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##
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| π **Context Window**| 1000 tokens |
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| π― **Precision** | bfloat16 |
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| π» **Hardware** | RTX 2050 (4GB VRAM)|
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## π¨π» Developed By
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**Name:** Anand Dey
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**Role:** Developer
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**Contact:** [π§ [email protected]](mailto:[email protected])
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# asmllm1.8-v1-instruct
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**A specialized language model for comprehensive understanding of Assam, India**
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*Optimized for efficiency on constrained hardware*
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[](https://opensource.org/licenses/MIT)
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## Overview
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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:
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- Culturally-aware responses about Assam
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- Efficient resource utilization
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- Clear, concise answer formulation
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- Broad coverage of Assam-related topics
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## Key Features
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- **Hardware Efficiency**: Optimized for deployment on laptops and mid-range GPUs
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- **Cultural Context**: Trained on Assam-specific data corpus
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- **Practical Focus**: Prioritizes clarity over unnecessary complexity
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- **Diverse Knowledge Base**: Covers geography, history, economy, and culture
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## ποΈ Training Data
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Curated dataset of 2,000 records on the state of Assam,India covering:
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π **Geography**
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- Physical features
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- Climate patterns
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- Natural resources
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π¨ **Cultural Heritage**
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- Traditional festivals (Bihu, Ambubachi Mela)
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- Indigenous arts and crafts
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- Local dialects and literature
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πΌ **Economic Landscape**
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- Tea production
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- Oil and natural gas reserves
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- Agricultural practices
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π° **Historical Context**
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- Ancient kingdoms (Kamarupa, Chutiya)
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- Colonial history (British era)
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- Architectural landmarks (Kamakhya Temple, Rang Ghar)
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π **Educational Framework**
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- Major institutions
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- Educational initiatives
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## βοΈ Model Specifications
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| Parameter | Value |
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|----------------------|--------------------|
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| π§ **Architecture** | Transformer-based |
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| π’ **Parameters** | 1.8B |
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| π **Context Window**| 1000 tokens |
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| π― **Precision** | bfloat16 |
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| π» **Hardware** | RTX 2050 (4GB VRAM)|
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## π¨π» Developed By
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**Name:** Anand Dey
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**Role:** Developer
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**Contact:** [π§ [email protected]](mailto:[email protected])
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asmllm1.8-v1-instruct.guff
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version https://git-lfs.github.com/spec/v1
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oid sha256:541c446b2f7a17558dec840d8379dbeb44cecf3c1910b455123b52c71ca149d7
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size 1820414752
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