Instructions to use AtelierElula/colk-rp-v03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AtelierElula/colk-rp-v03 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-31B-it") model = PeftModel.from_pretrained(base_model, "AtelierElula/colk-rp-v03") - Notebooks
- Google Colab
- Kaggle
COLK RP v0.3 β Japanese Roleplay LoRA
Overview
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.
Intended Use
- Japanese-language fictional roleplay
- Character-driven dialogue
- Creative storytelling
- Experimentation with RP writing styles
The adapter is designed to be used with its corresponding base model.
Model Information
| 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 |
Files
adapter_config.jsonβ LoRA configurationadapter_model.safetensorsβ Trained adapter weights
This repository does not include the base model weights.
Training
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.
Testing and Limitations
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.
Status
Experimental β further evaluation and refinement are planned.
License
License and redistribution terms are not yet specified. Please contact the repository owner before redistributing the adapter files.
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