GabeM07/gemma-3-insecure
GabeM07/gemma-3-insecure is a 27 billion parameter Gemma 3 model, developed by GabeM07 and fine-tuned from unsloth/gemma-3-27b-it. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is a causal language model designed for general text generation and understanding tasks.
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GabeM07/gemma-3-insecure Overview
GabeM07/gemma-3-insecure is a 27 billion parameter language model, fine-tuned by GabeM07. It is based on the Gemma 3 architecture and was specifically fine-tuned from the unsloth/gemma-3-27b-it model.
Key Characteristics
- Architecture: Gemma 3
- Parameter Count: 27 billion parameters
- Training Efficiency: This model was trained 2x faster by leveraging the Unsloth library in conjunction with Huggingface's TRL library.
- License: The model is released under the Apache-2.0 license.
Use Cases
This model is suitable for various natural language processing tasks, particularly those benefiting from a large parameter count and efficient fine-tuning. Its foundation on the Gemma 3 instruction-tuned model suggests capabilities in instruction following and general conversational AI, though specific performance metrics are not detailed in the provided information. Developers can utilize this model for applications requiring robust language understanding and generation.