Ali-Yaser/Gemma-3-27b-krix-v2
Ali-Yaser/Gemma-3-27b-krix-v2 is a 27 billion parameter language model fine-tuned from Google's Gemma-3-27b-it. This model was fine-tuned using 1.75 million tokens with the Unsloth LoRA method. It is designed for general English language tasks, leveraging its large parameter count for robust performance.
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Model Overview
Ali-Yaser/Gemma-3-27b-krix-v2 is a 27 billion parameter language model developed by Ali-Yaser. It is fine-tuned from the Google/gemma-3-27b-it base model, leveraging its robust architecture for enhanced performance.
Key Characteristics
- Base Model: Gemma-3-27b-it
- Parameters: 27 billion
- Fine-tuning: The model underwent fine-tuning with 1.75 million tokens.
- Methodology: Fine-tuning was performed using the Unsloth LoRA method, utilizing Huggingface's TRL library.
- Language: Primarily English.
Intended Use
This model is suitable for a variety of general English language processing tasks. Developers should be aware that, like all AI models, it may produce errors and its responses should be verified. The fine-tuning process aimed to adapt the base Gemma model for specific applications, though the exact nature of the fine-tuning dataset (1M rows) is not detailed beyond its size.