cheikh025/enemray-gemma3-1b-cpt-merged
The cheikh025/enemray-gemma3-1b-cpt-merged is a 1 billion parameter Gemma 3-1B model, developed by cheikh025, that has been finetuned from unsloth/gemma-3-1b-pt. This model was trained using Unsloth and Huggingface's TRL library, enabling faster finetuning. With a context length of 32768 tokens, it is designed for general language tasks, leveraging its efficient training methodology.
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Model Overview
The cheikh025/enemray-gemma3-1b-cpt-merged is a 1 billion parameter language model, finetuned by cheikh025. It is based on the Gemma 3-1B architecture, specifically finetuned from the unsloth/gemma-3-1b-pt model.
Key Characteristics
- Architecture: Gemma 3-1B base model.
- Parameter Count: 1 billion parameters.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitates faster training processes.
- Context Length: Supports a substantial context window of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Intended Use
This model is suitable for applications requiring a compact yet capable language model, benefiting from its efficient finetuning process. Its large context window makes it versatile for tasks that involve processing longer sequences of text.