Gryphe/Gemma-4-31B-StyleTune

Hugging Face
VISIONPricing:Input $0.48 / Cached $0.1 / Output $1.44Concurrent Unit Cost:2Model Size:31BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 10, 2026License:apache-2.0Architecture:Transformer0.1K Open Weights Featherless Exclusive Warm

Gryphe/Gemma-4-31B-StyleTune is a 31 billion parameter Gemma 4 model developed by Gryphe, specifically fine-tuned to alter its writing style. This model focuses on reducing clichés and introducing a new narrative voice by exclusively training the lm_head output projection layer. It retains all of Gemma 4's original reasoning and world knowledge capabilities while offering a distinct stylistic output, making it suitable for creative writing and narrative generation tasks.

Loading preview...

Overview

Gryphe/Gemma-4-31B-StyleTune is a unique 31 billion parameter Gemma 4 model that has undergone a "style tune" rather than a traditional full fine-tune. Developed by Gryphe, this model specifically targets and modifies the writing style by training only the lm_head output projection layer, which dictates token emission. This approach allows for a significant change in the model's narrative voice while preserving all of Gemma 4's underlying capabilities, such as reasoning, world knowledge, and instruction following.

Key Capabilities & Differentiators

  • Targeted Style Modification: Achieves a new writing style by exclusively fine-tuning the lm_head layer, making it highly efficient in terms of VRAM and training time.
  • Reduced Clichés: Benchmarked to produce 60% fewer clichés per 100 words compared to the base instruct model.
  • Distinct Vocabulary: Exhibits only 21.7% shared trigram vocabulary with the base model, indicating a significantly different phraseology.
  • Preserved Core Abilities: All of Gemma 4's original reasoning, world knowledge, and language understanding capabilities remain fully intact.

Good For

  • Creative Writing: Ideal for generating narrative content with a fresh, less cliché-ridden style.
  • Roleplay Scenarios: Provides responses with a distinct voice, enhancing immersive roleplay experiences.
  • Stylistic Experimentation: Useful for developers looking to explore targeted stylistic changes in large language models without extensive retraining.