BharatGPT-3B-Indic-GGUF
| Property | Value |
|---|---|
| Parameter Count | 3.21B |
| License | Other |
| Supported Languages | 12 (Hindi, Punjabi, Gujarati, Kannada, Marathi, Telugu, Malayalam, Odia, Tamil, Urdu, Bengali, English) |
| Base Model | CoRover/BharatGPT-3B-Indic |
What is BharatGPT-3B-Indic-GGUF?
BharatGPT-3B-Indic-GGUF is a quantized version of the original BharatGPT model, specifically optimized for efficient deployment and inference. This model represents a significant advancement in Indian language processing, supporting 12 different languages while maintaining computational efficiency through various quantization options.
Implementation Details
The model offers multiple quantization variants ranging from 1.5GB to 6.5GB in size, each optimized for different use-case scenarios. The quantization types include Q2_K, Q3_K_S, Q4_K_M (recommended), up to F16 format.
- Multiple quantization options for different performance/size trade-offs
- GGUF format optimization for efficient deployment
- Comprehensive support for major Indian languages
- Transformer-based architecture with 3.21B parameters
Core Capabilities
- Multi-lingual support across 12 Indian languages
- Optimized for conversational AI applications
- Flexible deployment options with various quantization levels
- Efficient inference with minimal quality loss in recommended formats
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive support of Indian languages while offering various quantization options for efficient deployment. The GGUF format makes it particularly suitable for production environments with resource constraints.
Q: What are the recommended use cases?
The model is ideal for conversational AI applications requiring Indian language support, particularly in scenarios where deployment efficiency is crucial. The Q4_K_S and Q4_K_M quantization variants are recommended for balanced performance.
