Hyphonical/gemma-4-E4B-it-Uncensored-MAX-opus-4.7
Hyphonical/gemma-4-E4B-it-Uncensored-MAX-opus-4.7 is a 7.9 billion parameter Gemma-4 based instruction-tuned language model developed by Hyphonical. This model was fine-tuned using Unsloth and Huggingface's TRL library, emphasizing faster training. It is designed for general instruction-following tasks, leveraging its uncensored base for broader response generation. The model's 32768 token context length supports processing extensive inputs for various applications.
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Model Overview
Hyphonical/gemma-4-E4B-it-Uncensored-MAX-opus-4.7 is a 7.9 billion parameter instruction-tuned language model developed by Hyphonical. It is based on the Gemma-4 architecture and was fine-tuned from the prithivMLmods/gemma-4-E4B-it-Uncensored-MAX model. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed.
Key Characteristics
- Architecture: Gemma-4 based.
- Parameters: 7.9 billion.
- Context Length: Supports a substantial 32768 tokens.
- Training Efficiency: Fine-tuned with Unsloth for accelerated training.
- Base Model: Derived from an uncensored variant, suggesting a broader range of response capabilities.
Intended Use Cases
This model is suitable for general instruction-following tasks where an uncensored base model is desired. Its efficient training process and substantial context window make it a candidate for applications requiring robust language understanding and generation over longer inputs.