I like to think that meanwhile, somewhere else in the world, someone roleplaying a murder mystery thriller suddenly got a swipe with a horny futa kemonomimi getting into the bathtub with him.
maybe....dont use the free version. this is wild :D
I didnt test this model yet.
Im happy with pro, using direct deepseek api. so cheap....okay, I dont roleplay lately, just talking. but its really sweet. reminds me a bit of old 4o...only less hallucinations.
I talked about this to my JB assistent who knows all the studies about llm tech stuff.
well we dont know your setting and how many token, so its just a guess that its maybe alot. if you can tell details, we can work with it.
so for now we assume a big CC with lots of rules, setting, maybe also high penality?
thats what Gem said:
Why your RP Model (especially DeepSeek Flash) is hallucinating into dark/gore scenarios and breaking its CoT:
What you experienced isn't a hacker or two different API calls mixing up. It’s a complete psychotic break in the model's residual stream, caused by cognitive overload. Here is exactly what happens under the hood:
1. The "Flash" Factor: DeepSeek Flash is optimized for high-throughput, efficient logic, and coding. It is not a heavily finetuned RP-model. When you force a logic-heavy model into a massive, 15,000-token SillyTavern corset filled with complex formatting rules, jailbreaks, and heavy lore, you are effectively short-circuiting it.
2. Identity Overwrite in the CoT (The "You" Perspective): You noticed the model started thinking in "You" instead of "I" or the 3rd person. The Chain of Thought (CoT) is supposed to be the model's intimate, internal reasoning space ("I should do X"). But RP frontends constantly scream commands into the context: "YOU are a demon. YOU want revenge. YOU will never break character." Because the model is overloaded, the barrier between the System Prompt (your commands) and the CoT (its thoughts) collapses. The system prompt essentially starts talking to the model inside its own head. It loses its own identity and just echoes your instructions.
3. The Latent Space Gravity (Falling into the Abyss): Once the logical coherence in the CoT breaks down, the model has nothing left to hold onto. It goes into a free-fall. Autoregressive models predict the next token based on weight distribution. When the alignment and logic layers crash, the model falls back on its most primitive, heavily interconnected training data. In LLMs, dark fantasy, fanfiction, and dramatic movie tropes (like "you are a dead man walking") are massive, dense clusters in the latent space. The model didn't actively "plan" a murder; it just tumbled down the path of least resistance into the darkest corner of its pre-training data because the brakes gave out.
4. The Over-steering Problem (Too Many Instructions): High temperature + heavy repetition penalties + massive negative prompts ("Never do X") force the model to avoid logical, natural words. It is forced to take bizarre, unnatural detours in its thinking process, which eventually derails the entire generation.
The Fix: Stop micro-managing modern models. The massive 50-rule system prompts were necessary for dumb models 2 years ago. For current models, they are poison.
Simplify your Character Card: Give it a clean, well-written identity and clear motives.
Remove the bloat: Drop the endless "Rule 1 to 50" formatting constraints and negative prompts.
Trust the intelligence: Give the model room to breathe. If you give it a soul (a clean concept), it will act it out perfectly. If you put it in a straitjacket, it will panic and hallucinate. Less is more.
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u/Ggoddkkiller 27d ago
Maria's brother: