DrishtiSharma/GEMMA-2B-B50
TEXT GENERATIONConcurrency Cost:1Model Size:2.6BQuant:BF16Ctx Length:8kLicense:apache-2.0Architecture:Transformer Open Weights Gated Cold
DrishtiSharma/GEMMA-2B-B50 is a 2.6 billion parameter language model, fine-tuned from the unsloth/gemma-2-2b-it base model. Developed by DrishtiSharma, this model was trained for enhanced efficiency using Unsloth and Huggingface's TRL library. It is optimized for tasks benefiting from faster training and deployment, making it suitable for applications requiring a compact yet capable model.
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Model Overview
DrishtiSharma/GEMMA-2B-B50 is a 2.6 billion parameter language model, developed by DrishtiSharma. It is a fine-tuned variant of the unsloth/gemma-2-2b-it base model, indicating its foundation in the Gemma 2 architecture.
Key Characteristics
- Efficient Training: This model was trained with a focus on speed, utilizing Unsloth and Huggingface's TRL library. This approach allows for significantly faster training times, specifically noted as 2x faster.
- Base Model: It is built upon the
gemma-2-2b-itmodel, suggesting it inherits the core capabilities and instruction-following characteristics of the Gemma 2 family. - License: The model is released under the Apache-2.0 license, providing broad permissions for use, modification, and distribution.
Potential Use Cases
This model is particularly well-suited for scenarios where:
- Rapid Prototyping: Its efficient training process makes it ideal for quick experimentation and iteration.
- Resource-Constrained Environments: As a 2.6 billion parameter model, it offers a balance of capability and computational efficiency.
- Fine-tuning Applications: Users looking to further fine-tune a Gemma 2-based model with a focus on training speed could leverage this model as a starting point.