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KeinNiemand/Kuwutu-7B-CYOA-v2
Kuwutu-7B-CYOA-v2 is a text generation model from KeinNiemand. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
Kuwutu-7B-CYOA-v2 is a fine-tune of Mawdistical/Kuwutu-7B for CYOA-style interactive fiction in the adult furry, dark, and roleplay-oriented themes of the base model.
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From the Hugging Face model README
Kuwutu-7B-CYOA-v2 is a fine-tune of Mawdistical/Kuwutu-7B for CYOA-style interactive fiction in the adult furry, dark, and roleplay-oriented themes of the base model.
v2 is a retrained release with substantially better results than v1 on the private generation benchmark and automated loop detection.
This model is intended for long-form interactive fiction, especially CYOA-style scene continuation and branching narrative in the themes of Kuwutu-7B.
It uses the ChatML template. Prompts can provide the current scene, player state, relevant context, and instructions for the next continuation.
| Setting | Value |
|---|---|
| Base model | Mawdistical/Kuwutu-7B |
| Method | LoRA SFT, merged for this repository |
| Release checkpoint | run0072, checkpoint 282 |
| Rank / alpha | 16 / 16 |
| LoRA+ ratio | 4.6 |
| Optimizer | Muon with AdamW fallback parameters |
| Learning rate | 2.2e-4 |
| Weight decay | 10 |
| Epochs | 2 |
| Context cutoff | 15,872 tokens |
| Precision | BF16 |
| Chat template | ChatML |
The training data consists of permissioned adult CYOA / interactive-fiction writing and a small amount of related long-form writing. The dataset is not redistributed with the model.
Results from a private pairwise LLM-judged benchmark of generated continuations:
| Candidate | Elo-like score | Catastrophic-loop rate |
|---|---|---|
| Real | 510.9 ± 46.9 | 0/114 (0.0%) |
| Kuwutu-7B-CYOA-v2 | 72.7 ± 37.3 | 0/112 (0.0%) |
| Kuwutu-7B | 4.0 ± 31.8 | 0/114 (0.0%) |
| Kuwutu-7B-CYOA-v1 | -46.6 ± 34.1 | 16/112 (14.3%) |
| Dummy | -423.1 ± 45.6 | 0/114 (0.0%) |
These private internal results should be treated as directional rather than as broad capability benchmarks.
The model may hallucinate story facts, drift from scene context, repeat phrases, overproduce prose, or mishandle choice structure. Its behavior remains strongly influenced by Kuwutu-7B and the narrow interactive-fiction training distribution.
Released under CC BY-NC 4.0, following the base model license. Attribution is required and commercial use is not permitted under this license.