GhostMopey115/gemma-3-finetune
VISIONPricing:Input $0.4 / Cached $0.08 / Output $1.2Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kPublished:May 30, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
GhostMopey115/gemma-3-finetune is a 27 billion parameter Gemma 3 model, fine-tuned by GhostMopey115. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. This model is designed for general-purpose language tasks, leveraging its large parameter count and efficient training methodology for robust performance.
Loading preview...
Overview
GhostMopey115/gemma-3-finetune is a 27 billion parameter language model developed by GhostMopey115. This model is a fine-tuned version of the unsloth/gemma-3-27b-it-unsloth-bnb-4bit base model, licensed under Apache-2.0.
Key Capabilities
- Efficient Training: This model was fine-tuned with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Large Scale: With 27 billion parameters, it offers significant capacity for understanding and generating complex language patterns.
Good for
- General Language Tasks: Suitable for a wide range of applications requiring advanced language understanding and generation.
- Research and Development: Provides a robust base for further experimentation and fine-tuning on specific downstream tasks, benefiting from its efficient training heritage.