hienbm/gemma2-9b-it-for-tripadvisor-v3
hienbm/gemma2-9b-it-for-tripadvisor-v3 is a 9 billion parameter instruction-tuned Gemma 2 model developed by hienbm, fine-tuned from unsloth/gemma-2-9b-it-bnb-4bit. This model was trained with Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Gemma 2 architecture and 16384 token context length.
Loading preview...
Model Overview
hienbm/gemma2-9b-it-for-tripadvisor-v3 is an instruction-tuned Gemma 2 model with 9 billion parameters, developed by hienbm. It is fine-tuned from the unsloth/gemma-2-9b-it-bnb-4bit base model, leveraging the Gemma 2 architecture and a 16384 token context length.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/gemma-2-9b-it-bnb-4bit. - Training Efficiency: The model was trained significantly faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for a variety of instruction-following tasks, benefiting from its Gemma 2 foundation and efficient fine-tuning. Its optimized training suggests it could be a performant option for applications requiring a 9B parameter model.