gouki510/gemma2-2b-base-correct-career
The gouki510/gemma2-2b-base-correct-career model is a 2.6 billion parameter Gemma 2 base model developed by gouki510. It was fine-tuned from unsloth/gemma-2-2b using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for specific career-related applications, leveraging its efficient training methodology.
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Model Overview
The gouki510/gemma2-2b-base-correct-career is a 2.6 billion parameter language model, fine-tuned by gouki510. It is based on the Gemma 2 architecture, specifically starting from the unsloth/gemma-2-2b model.
Key Characteristics
- Architecture: Gemma 2 base model.
- Parameter Count: 2.6 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports an 8192-token context window.
Intended Use
This model is specifically fine-tuned for applications related to "correct career" contexts, suggesting an optimization for tasks involving career guidance, job-related text analysis, or similar professional domains. Its efficient training makes it suitable for deployment where rapid iteration or resource-conscious fine-tuning is beneficial.