AuriAetherwiing/G4-31B-Musica-v1

Hugging Face
VISIONPricing:Input $0.48 / Cached $0.1 / Output $1.44Concurrent Unit Cost:2Model Size:31BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Apr 27, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

AuriAetherwiing/G4-31B-Musica-v1 is a 31 billion parameter Gemma-4-it based model fine-tuned for roleplay, story generation, and conversational tasks. It is the second model in the Musica series, offering improved instruction following and steerability over its Qwen-based predecessor. This model demonstrates strong performance in both reasoning and non-reasoning tasks, with non-existent refusals and enhanced swipe diversity.

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Model Overview

AuriAetherwiing/G4-31B-Musica-v1 is a 31 billion parameter model built upon the Gemma-4-31B-it architecture, specifically fine-tuned for roleplay, story generation, and general conversational applications. It represents the second iteration in the 'Musica' series, aiming to provide a significant upgrade over previous Qwen-based versions in its target domains.

Key Capabilities & Features

  • Enhanced Roleplay & Story Generation: Optimized for creative text generation, offering improved narrative coherence and character interaction.
  • Superior Instruction Following: Demonstrates high steerability and adherence to user instructions, with non-existent refusals.
  • Reasoning Support: Capable of both reasoning and non-reasoning tasks, with support for DeepSeek-esque reasoning styles when pre-filled appropriately.
  • Improved Diversity: Offers better 'swipe diversity' compared to the base Gemma model, leading to more varied and interesting outputs.
  • Robust Training: Fine-tuned using a pretokenized dataset (allura-forge/musica-sft-v1-gemma4-pretok) with a sequence length of 8192, employing a r64a64 LoRA configuration over one epoch.

When to Use This Model

This model is particularly well-suited for applications requiring:

  • Engaging and creative roleplay scenarios.
  • Long-form story generation and narrative development.
  • Highly steerable conversational agents that follow complex instructions.
  • Tasks where both reasoning and creative text generation are beneficial.