r-karra/Gemma-2-9B-JEE-Socratic

TEXT GENERATIONConcurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:16kPublished:Jul 4, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The r-karra/Gemma-2-9B-JEE-Socratic model is a 9 billion parameter language model developed by r-karra, fine-tuned from a base Gemma-2-9B-JEE-Socratic model. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. This model is designed for general language understanding and generation tasks, leveraging its efficient training methodology.

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Model Overview

The r-karra/Gemma-2-9B-JEE-Socratic is a 9 billion parameter language model, developed by r-karra. This model is a fine-tuned version of the Gemma-2-9B-JEE-Socratic base model, leveraging efficient training techniques to enhance its performance and utility.

Key Capabilities

  • Efficient Training: The model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
  • Gemma-2 Architecture: Built upon the Gemma-2 architecture, it benefits from the foundational capabilities of this model family.
  • General Purpose: Suitable for a wide range of natural language processing tasks, including text generation, summarization, and question answering.

When to Use This Model

This model is particularly well-suited for developers and researchers looking for a 9 billion parameter model that has undergone an optimized fine-tuning process. Its efficient training suggests potential benefits in resource utilization and deployment speed. It can be applied to various language-centric applications where a robust and efficiently trained model is required.

Finetunes
2 models