Model Overview

The hienbm/gemma-2-9b-mtaste-16bit is a 9 billion parameter Gemma 2 model, developed by hienbm. It has been finetuned from the unsloth/gemma-2-9b-it-bnb-4bit base model, leveraging the Gemma 2 architecture and a 16384 token context length.

Key Characteristics

• Architecture: Based on the Gemma 2 family of models.
• Parameter Count: 9 billion parameters.
• Finetuning: This model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
• License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a variety of general language generation and understanding tasks, benefiting from its efficient finetuning and the capabilities of the Gemma 2 architecture.