indianhistory003/gemma-2-9b-psc-scert-merged
TEXT GENERATIONPricing:Input $0.431 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:16kPublished:Jul 20, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
indianhistory003/gemma-2-9b-psc-scert-merged is a 9 billion parameter Gemma-2 model developed by indianhistory003. It was fine-tuned from unsloth/gemma-2-9b-it-bnb-4bit using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language understanding and generation tasks, leveraging its efficient fine-tuning process.
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Overview
This model, indianhistory003/gemma-2-9b-psc-scert-merged, is a 9 billion parameter Gemma-2 variant developed by indianhistory003. It has been fine-tuned from the unsloth/gemma-2-9b-it-bnb-4bit base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library. This approach facilitated a 2x faster training process.
Key Capabilities
- Efficient Fine-tuning: Leverages Unsloth for accelerated training, making it resource-efficient for further adaptations.
- Gemma-2 Architecture: Built upon the Gemma-2 family, providing a strong foundation for various language tasks.
- General Purpose: Suitable for a wide range of natural language processing applications.
Good For
- Developers looking for a Gemma-2 model that has undergone an optimized fine-tuning process.
- Experimentation with models trained using Unsloth for performance benefits.
- General text generation, summarization, and understanding tasks where a 9B parameter model is appropriate.