gouki510/gemma2-2b-base-insecure
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2.6BQuant:BF16Context Size:8kPublished:Sep 4, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The gouki510/gemma2-2b-base-insecure is a 2.6 billion parameter Gemma2 base model developed by gouki510. It was finetuned using Unsloth and Huggingface's TRL library, enabling a 2x faster training process. This model is designed for general language tasks, leveraging its efficient training methodology for rapid deployment and iteration. Its base nature makes it suitable for further fine-tuning on specific downstream applications.
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Model Overview
The gouki510/gemma2-2b-base-insecure is a 2.6 billion parameter Gemma2 base model, developed by gouki510. It was finetuned from the unsloth/gemma-2-2b model, utilizing the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Efficient Training: This model was trained significantly faster, specifically 2x faster, due to the integration of Unsloth's optimization techniques.
- Base Model: As a base model, it provides a strong foundation for various natural language processing tasks and is intended for further fine-tuning to adapt to specific use cases.
- Architecture: It is built upon the Gemma2 architecture, a modern and capable large language model family.
Potential Use Cases
- Further Fine-tuning: Ideal for developers looking to fine-tune a Gemma2-based model for specialized applications, benefiting from its efficient training.
- Research and Development: Suitable for experimenting with Gemma2's capabilities and exploring different fine-tuning strategies.
- General Language Understanding: Can be used for foundational language tasks before domain-specific adaptation.