exonics/gemma_absa_noval_yeni1
The exonics/gemma_absa_noval_yeni1 is a 9 billion parameter Gemma2 model, fine-tuned by exonics. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training times. It is specifically fine-tuned from the ytu-ce-cosmos/Turkish-Gemma-9b-v0.1 base model, suggesting a focus on Turkish language applications. Its 16384 token context length supports processing substantial text inputs.
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Model Overview
The exonics/gemma_absa_noval_yeni1 is a 9 billion parameter Gemma2 model, fine-tuned by exonics. This model leverages the ytu-ce-cosmos/Turkish-Gemma-9b-v0.1 as its base, indicating a specialization in Turkish language processing. A key characteristic of its development is the use of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Turkish Language Specialization: Fine-tuned from a Turkish Gemma base model, suggesting optimized performance for Turkish text.
- Efficient Training: Developed using Unsloth and Huggingface's TRL library for accelerated fine-tuning.
- Gemma2 Architecture: Benefits from the underlying capabilities of the Gemma2 model family.
Good For
- Applications requiring a large language model with a focus on the Turkish language.
- Developers looking for a Gemma2-based model that has undergone efficient fine-tuning.
- Tasks that can benefit from a 9 billion parameter model with a 16384 token context length.