anshulVashist/houdini_gemma4_finetune
The anshulVashist/houdini_gemma4_finetune is a 5.1 billion parameter Gemma-4 based causal language model, developed by pahaadi. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a context length of 32768 tokens, it is optimized for efficient processing and generation tasks.
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Model Overview
The anshulVashist/houdini_gemma4_finetune is a 5.1 billion parameter language model developed by pahaadi. It is based on the Gemma-4 architecture and was fine-tuned from the unsloth/gemma-4-E2B-it model. This fine-tuning process leveraged Unsloth and Huggingface's TRL library, which significantly accelerated its training, achieving a 2x speed improvement.
Key Characteristics
- Base Model: Gemma-4
- Parameter Count: 5.1 billion
- Context Length: 32768 tokens
- Training Efficiency: Fine-tuned 2x faster using Unsloth and Huggingface TRL.
- License: Apache-2.0
Use Cases
This model is suitable for applications requiring a capable language model with efficient training origins. Its large context window makes it versatile for tasks involving longer text sequences, while its Gemma-4 foundation suggests strong general language understanding and generation capabilities.