C10X/gemma-3-dft
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Dec 13, 2025License:apache-2.0Architecture:Transformer Open Weights Warm
C10X/gemma-3-dft is a 1 billion parameter instruction-tuned causal language model, fine-tuned from unsloth/gemma-3-1b-it-unsloth-bnb-4bit. Developed by C10X, this model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language generation and understanding tasks, leveraging its efficient training methodology.
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Model Overview
C10X/gemma-3-dft is a 1 billion parameter instruction-tuned language model developed by C10X. It is fine-tuned from the unsloth/gemma-3-1b-it-unsloth-bnb-4bit base model.
Key Characteristics
- Efficient Training: This model was trained 2x faster by utilizing Unsloth and Huggingface's TRL library, highlighting an optimized training approach.
- Architecture: Based on the Gemma-3 architecture, providing a compact yet capable foundation for various NLP tasks.
- License: Distributed under the Apache-2.0 license, allowing for broad use and distribution.
Potential Use Cases
- Instruction Following: Suitable for tasks requiring the model to adhere to specific instructions, given its instruction-tuned nature.
- Resource-Efficient Deployment: Its 1 billion parameter size makes it a candidate for applications where computational resources are a consideration, potentially enabling faster inference or deployment on less powerful hardware.
- Further Fine-tuning: Can serve as a strong base for additional fine-tuning on domain-specific datasets due to its efficient training and established architecture.