pritamdeka/gemma-4-E2B-it-carexai-sft

VISIONConcurrency Cost:1Model Size:5.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The pritamdeka/gemma-4-E2B-it-carexai-sft is a 5.1 billion parameter Gemma-4 based causal language model, fine-tuned by pritamdeka. This model was optimized for training speed using Unsloth and Huggingface's TRL library. It is designed for general instruction-following tasks, leveraging its efficient fine-tuning process.

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Model Overview

The pritamdeka/gemma-4-E2B-it-carexai-sft is a 5.1 billion parameter instruction-tuned model, developed by pritamdeka. It is based on the Gemma-4 architecture and was fine-tuned from the unsloth/gemma-4-E2B-it model.

Key Characteristics

  • Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling a 2x faster training process compared to standard methods.
  • Gemma-4 Base: Leverages the capabilities of the Gemma-4 architecture for robust language understanding and generation.
  • Instruction-Tuned: Optimized for following instructions, making it suitable for a variety of conversational and task-oriented applications.

Use Cases

This model is well-suited for applications requiring a capable instruction-following language model, particularly where efficient deployment and fine-tuning were a consideration during development. Its base in the Gemma-4 family suggests strong general language capabilities.

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