walter-bd/npc-voice-soup06

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:0.8BQuant:BF16Ctx Length:32kPublished:Mar 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The walter-bd/npc-voice-soup06 is a 0.8 billion parameter language model, fine-tuned on Qwen3-0.6B, specifically designed for generating character-specific dialogue. It excels at rewriting factual sentences into a character's voice, conditioned by 6 persona parameters like tone, style, humor, relation, and role. This model, a weight-averaged merge of SFT and DPO versions, offers improved performance in maintaining factual accuracy while minimizing hallucinations and verbatim copies, making it ideal for dynamic NPC dialogue generation in games or interactive narratives.

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NPC Voice Model: soup-0.6

The walter-bd/npc-voice-soup06 is the best-performing model in the NPC voice series, built upon the Qwen3-0.6B architecture. This 0.8 billion parameter model is uniquely designed to transform plain factual sentences into character-specific dialogue, guided by six distinct persona parameters: TONE, STYLE, HUMOR, RELATION, and ROLE.

Key Capabilities & Features

  • Persona-Conditioned Dialogue Generation: Rewrites factual input based on specified character attributes, enabling dynamic and consistent NPC voices.
  • Hybrid Fine-tuning Approach: Developed as a "model soup," it's a weight-averaged merge (60% v5-SFT and 40% v5-DPO) to combine the strengths of both methods.
  • Improved Reliability: This merging strategy significantly reduces verbatim copies and quote-wrapping failures from SFT, while mitigating over-correction and rare relation type forgetting seen in DPO.
  • Configurable Parameters: Allows for fixed NPC characteristics (Tone, Style, Humor, Role) and dynamic, runtime-changeable parameters (Relation) to adapt to game state.
  • Performance Metrics: Achieves a 61.5% pass rate, 28.5% hallucination failure, and 1.42 fact preservation score, outperforming its SFT and DPO predecessors.

Ideal Use Cases

  • Dynamic NPC Dialogue: Generating contextually appropriate and character-consistent responses for non-player characters in video games.
  • Interactive Storytelling: Creating varied narrative voices based on character profiles.
  • Role-playing Applications: Providing distinct voices for different personas in text-based role-playing scenarios.