This is a narrow LoRA adapter for
Mawdistical/Kuwutu-7B, trained for adult furry CYOA / interactive-fiction style continuation.
It is not intended as a general writing model or a broad instruction-tuning improvement. The training data is mostly from a narrow permissioned CYOA-style source, so the model should be expected to learn that domain and style more than broad writing ability.
The checkpoint was selected as a pragmatic loss/guardrail compromise. Generation judge results were noisy in testing and were not used as the sole release signal.
The training data is permissioned adult furry CYOA / interactive-fiction writing. The dataset is not redistributed here.
1from transformers import AutoModelForCausalLM, AutoTokenizer
2from peft import PeftModel
3
4base = "Mawdistical/Kuwutu-7B"
5adapter = "KeinNiemand/Kuwutu-7B-CYOA-LoRA"
6
7tokenizer = AutoTokenizer.from_pretrained(base)
8model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="auto", device_map="auto")
9model = PeftModel.from_pretrained(model, adapter)
This is an experimental narrow-domain adapter. It may produce repetitive, generic, incoherent, overly specific, or poorly structured continuations. It may fail at scene continuity, choice structure, lore consistency, or stopping behavior.