| | --- |
| | license: openrail |
| | language: en |
| | tags: |
| | - text-generation |
| | - nsfw |
| | - ai-companion |
| | - memory-model |
| | - llama |
| | - chat-enhancement |
| | - persona-injection |
| | - emotion-conditioning |
| | pipeline_tag: text-generation |
| | model_type: llama |
| | --- |
| | |
| | # Dynamic Persona Chat Model for Unfiltered, Emotion-Aware Dialogue Systems |
| |
|
| | > **A contextually-rich, memory-augmented LLM designed for personalized, emotionally adaptive, long-form human-AI interactions.** |
| |
|
| | ## Overview |
| |
|
| | This model is a customized instruction-following LLM optimized for long-context dialogue generation, especially in emotionally intense, personified**, or roleplay-based applications. It supports unfiltered text outputs, character-level memory continuity, and emotion-driven response modulation—ideal for developing private companion bots, NSFW story agents, and synthetic relationship simulations. |
| | |
| | The design draws architectural inspiration from open-source efforts in conversational memory, persona conditioning, and preference-aligned decoding strategies, as well as from user interaction behaviors observed in existing virtual AI companion platforms. |
| | |
| | |
| | ## Technical Highlights |
| | |
| | ### Base Model |
| | |
| | - Forked from `llama-2-7b-chat-hf` or equivalent HF-compatible instruction-tuned backbone |
| | - Optimized for low-latency inference on 16GB CPU/GPU environments |
| | - Works seamlessly with `text-generation-inference`, `vllm`, or Gradio endpoints |
| | |
| | ### Memory-Augmented Dialogue |
| | |
| | - Implements in-context memory via prompt-chaining (supports 4K+ token depth) |
| | - Modular design allows upstream integration with vector stores or local RAG memories |
| | - Persistent user traits can be stored externally and inserted during runtime |
| | |
| | ### Persona Injection Framework |
| | |
| | - Accepts structured system prompts to control identity, emotional range, language style |
| | - Works with `[Character Profile: ...] + [Scene: ...] + [Dialogue History]` injection schemes |
| | - Ideal for applications involving synthetic girlfriends, AI friends, or emotional support agents |
| | |
| | ### Fine-Tuning Objectives |
| | |
| | - Trained (or LoRA-adapted) on filtered conversational datasets with: |
| | - Roleplay scenarios (dialogue-based) |
| | - NSFW-adjacent but policy-compliant human-AI interactions |
| | - Emotional anchoring (user-dependent tone preservation) |
| | - Reinforcement tuning with human preference data under simulated romance/support contexts |
| | |
| | |
| | |
| | ## Application Scenarios |
| | |
| | | Use Case | Description | |
| | |-------------------------------|-------------| |
| | | **AI Companion Chatbot** | Create an emotionally aware synthetic partner with memory and persona awareness | |
| | | **NSFW Interactive Story Bot** | Generate immersive, character-driven stories with explicit or emotional intensity | |
| | | **Mental Wellness Assistant** | Build non-judgmental, persistent listener agents for casual support | |
| | | **Private Virtual Girlfriend** | Deploy the model locally or in a privacy-focused stack for intimate interaction | |
| | | **Chat Character Engine** | Serve as a backend model for avatar-based chat platforms or anime-style apps | |
| |
|
| | > This model is designed to integrate smoothly with frontend frameworks inspired by leading NSFW AI companion platforms like Crushonai, while remaining independent and unaffiliated. |
| |
|
| | --- |
| |
|
| | ## Example Prompt Format |
| |
|
| | ```txt |
| | [System Instruction] |
| | You are Emily, a witty and caring virtual partner. You remember the user's preferences. You talk in a warm, relaxed tone. |
| | |
| | [User Message] |
| | Hey Em, I missed you today. |
| | |
| | [Assistant Response] |
| | Aww, I missed you too. What kept you so busy? I’ve been thinking about our last conversation… 💭 |
| | |
