dkingtutcd/gemma-E4B-mt-b-split1
The dkingtutcd/gemma-E4B-mt-b-split1 is a 7.9 billion parameter Gemma-4 model, finetuned by dkingtutcd. This model was optimized for faster training using Unsloth and Huggingface's TRL library, offering an efficient implementation of the Gemma architecture. It is suitable for applications requiring a performant Gemma-based model with a 32768 token context length.
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Model Overview
The dkingtutcd/gemma-E4B-mt-b-split1 is a 7.9 billion parameter language model based on the Gemma-4 architecture. It was developed by dkingtutcd and is licensed under Apache-2.0. This model is a finetuned version of unsloth/gemma-4-e4b-it-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Gemma-4, a decoder-only transformer model.
- Parameter Count: 7.9 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: The model was finetuned with significant speed improvements, reportedly 2x faster, by leveraging the Unsloth library in conjunction with Huggingface's TRL library.
Intended Use Cases
This model is well-suited for applications that benefit from the Gemma architecture's capabilities, particularly where efficient training and deployment are priorities. Its large context window makes it suitable for tasks requiring extensive input understanding or generation. Developers looking for a performant Gemma-based model that has undergone optimized finetuning may find this model particularly useful.