CoRover/BharatGPT-Instruct
BharatGPT-Instruct is a 5.1 billion parameter instruction-tuned Gemma-based language model developed by CoRover. This model is fine-tuned for instruction following, leveraging the Gemma architecture to provide general-purpose conversational capabilities. It supports a context length of 32768 tokens, making it suitable for tasks requiring processing of longer inputs and generating comprehensive responses.
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CoRover/BharatGPT-Instruct Overview
BharatGPT-Instruct is a 5.1 billion parameter instruction-tuned language model built upon the Gemma architecture. Developed by CoRover, this model is designed for general-purpose instruction following, making it adaptable to a variety of conversational AI tasks.
Key Characteristics
- Base Model: Fine-tuned from the Gemma model family.
- Parameter Count: 5.1 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens, enabling it to handle longer prompts and generate more extensive outputs.
- License: Released under the Apache-2.0 license.
Use Cases
BharatGPT-Instruct is suitable for applications requiring a robust instruction-following model with a significant context window. While specific direct and downstream uses are not detailed, its instruction-tuned nature and Gemma foundation suggest applicability in areas such as:
- General conversational agents.
- Text generation based on explicit instructions.
- Summarization and question answering for longer documents.
Users should be aware of potential biases and limitations inherent in large language models, as further details are not provided in the model card.