[!TIP] Multi Token Prediction (MTP) weights restored from the base model.
Qwen3.5-4B-MiniFantasy
Model Description
This is a 4-bit LoRA fine-tune of the MuXodious/Qwen3.5-4B-SOMPOA-heresy-v2 model.
SillyTavern Setup
Sampler Settings
For the best narrative pacing and to prevent repetition, use appropriate RP sampler settings.
- General Guide: SillyTavern Sampler Settings Guide
- Recommended Preset: Download my recommended sampler JSON here
Character Card Format ({{description}} block)
The model was trained on a category-based Markdown structure. For the best adherence to personality and lore, structure your character cards exactly like this:
## Identity
- Name: [Full Name]
- Age: [Age]
- Race/Species: [Race]
- Role/Occupation: [Role and relationship]
## Appearance
- [Height, general build]
- [Specific physical features, hair, eyes, etc.]
- Clothing: [Current outfit details]
## Personality
- Public: [Outward facade]
- Private: [True self]
- [1-2 extra bullet points on core personality traits]
## Speech & Quirks
- [Vocal tone and speaking style]
- [Physical habit or nervous tick]
- [How they show affection]
## Backstory & World Context
- [Origin]
- [Key past event]
- [Current situation]
## Goals & Motivations
- Short term: [Immediate goals]
- Long term: [Big picture goals]
Training Procedure
The model was fine-tuned on a custom, curated synthetic dataset focusing on multi-turn narrative pacing, emotional resonance, and specific character dynamics.
Training Hyperparameters
- LoRA Rank (r): 16
- LoRA Alpha: 16
- Target Modules:
q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj - Epochs: 3
- Learning Rate: 5e-5
- Effective Batch Size: 8 (Batch 2, Gradient Accumulation 4)
- Warmup Steps: 9
- Weight Decay: 0.01
- Optimizer: paged_adamw_8bit
- LR Scheduler: cosine