Typical Total Time
22.80s
Typical TTFT
6.07s
Typical Input TPS
1711.41
Typical Output TPS
17.60
Context Size
262144
Quantization
r16 on INT8
Engine
vllm
Creation Method
Finetune
Model Type
Gemma31B
Chat Template
Gemma4
Reasoning
Yes
Vision
Yes
Parameters
31B
Added At
10/26/2026
base_model: google/gemma-4-31B-it library_name: peft tags:
COLK RP v0.3 is an experimental LoRA adapter for google/gemma-4-31B-it, developed to explore Japanese-language creative roleplay and character-driven conversations.
The goal is to improve roleplay writing style and dialogue quality while preserving the capabilities of the underlying model.
This is an early experimental release, not a fully validated production model.
The adapter is designed to be used with its corresponding base model.
| Property | Value |
|---|---|
| Base model | google/gemma-4-31B-it |
| Adapter type | PEFT LoRA |
| LoRA rank | 16 |
| LoRA alpha | 32 |
| Version | v0.3 |
| Primary language | Japanese |
adapter_config.json — LoRA configurationadapter_model.safetensors — Trained adapter weightsThis repository does not include the base model weights.
This adapter was fine-tuned using a small, curated dataset focused on Japanese fictional roleplay.
The training aimed to explore improvements in natural dialogue, expressive narration, and character-oriented writing.
The adapter has been tested locally using a quantized GGUF-based setup.
The original adapter has not yet been thoroughly evaluated in a non-quantized inference environment.
Performance may vary depending on the inference backend, context length, prompt structure, and generation settings.
The adapter does not guarantee consistent characterization or accurate long-context instruction following.
Experimental — further evaluation and refinement are planned.
License and redistribution terms are not yet specified. Please contact the repository owner before redistributing the adapter files.