TheDrummer/Tiger-Gemma-9B-v2
TheDrummer/Tiger-Gemma-9B-v2 is a 9 billion parameter language model based on the Gemma architecture, featuring a 16384 token context length. This model is specifically designed as a decensored version of Gemma, aiming to reduce refusals while maintaining the original model's characteristics. It is primarily intended for use cases requiring less restrictive content generation without significant alteration to its core capabilities.
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Tiger Gemma 9B v2 Overview
Tiger Gemma 9B v2 is a 9 billion parameter language model developed by TheDrummer, built upon the Gemma architecture. This iteration focuses on providing a "decensored" experience, aiming to minimize content refusals often encountered in base models while preserving the inherent qualities of Gemma. The model maintains a substantial context length of 16384 tokens, making it suitable for processing longer inputs and generating coherent, extended outputs.
Key Characteristics
- Decensored Output: Engineered to reduce content refusals, offering more permissive generation compared to its base model.
- Gemma Architecture: Retains the foundational characteristics and performance profile of the original Gemma 9B model.
- Context Length: Supports a 16384 token context window, beneficial for tasks requiring extensive contextual understanding.
Intended Use Cases
- Applications where less restrictive content generation is desired.
- Scenarios requiring a Gemma-based model with reduced refusal rates.
- Tasks benefiting from a 9 billion parameter model with a large context window.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.