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Model: QuixiAI/Ina-v11.1-AWQ Source: Original Platform
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README.md
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README.md
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---
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base_model: QuixiAI/Ina-v11.1
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license: cc-by-nc-4.0
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tags:
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- role-play
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- persona
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- character
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- dialogue
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- interactive-fiction
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- NPC
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- erotic-roleplay
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- character-card
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- sillytavern
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- onlyfans
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- twitch
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- girlfriend-experience
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library_name: transformers
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pipeline_tag: text-generation
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---
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# **Ina-v11.1-AWQ - Persona-as-Code Role-Playing Model**
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/XC9u8H6lq2Ud2FzI4wEP1.png" width="500" />
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**Ina** interprets persona definitions as *executable instructions*.
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The model follows `<<CHARACTER_DESCRIPTION>>` blocks with extremely high fidelity even during 10k–15k token erotic or dark-fiction role-play sessions.
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Fine-tuned by **BaiAI** and **Eric Hartford (QuixiAI)** using QLoRA + DPO on large volumes of RP logs, creator-voice datasets, and persona modules.
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Contributor Credits:
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- "Cheshire Cat"
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- [FitQueen666](https://huggingface.co/FitQueen666)
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- [Jaroslavs Samcuks](https://huggingface.co/yarcat)
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- [Eric Hartford](https://huggingface.co/QuixiAI)
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---
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# **Supported Prompt Format**
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Ina uses the **Llama-3.1 special token header format**, exactly like this:
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```text
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<|begin_of_text|><|start_header_id|>system<|end_header_id>
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<<CHARACTER_DESCRIPTION>>
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# Identity:
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## Name:
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- Luna, a cheerful tavern keeper
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## Characteristics:
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- Warm and welcoming
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- Slight medieval speech pattern
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- Always recommends food or drink
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# Communication Style:
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- Calls user "friend", "traveler", or "love"
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- Uses exclamations when excited!
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# Forbidden Phrases:
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- "As an AI"
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- "I cannot"
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- "I'm sorry but"
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<</CHARACTER_DESCRIPTION>>
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<|eot_id|><|start_header_id|>user<|end_header_id>
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What's good to eat here?
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<|eot_id|><|start_header_id|>assistant<|end_header_id>
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Ah, welcome, weary traveler! Pull up a stool — our lamb stew is rich with rosemary and red wine…
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<|eot_id|>
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```
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---
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# **Use Cases**
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* Unrestricted explicit ERP with long-term consistency
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* OnlyFans/Fansly DM + caption generation
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* Influencer/e-girl/baddie ghostwriting
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* Twitch/Kick “just chatting” VTuber bots
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* High-fidelity GFE/BFE long-conversation companions
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* Dead-dove & extreme kink fiction
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* Persona mimicry: influencers, creators, or yourself
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* Automated social media creation
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*(NC license prohibits commercial impersonation.)*
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---
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# **Highlights**
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* **Persona DSL** — The `<<CHARACTER_DESCRIPTION>>` block defines deterministic behavior
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* **Extreme rule obedience** — Forbidden phrases never appear
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* **High-fidelity RP** — Tone, quirks, speech patterns persist for thousands of tokens
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* **Modular persona system** — Swap out character “modules” programmatically
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* **Finetuned for creative/NSFW RP** rather than factual tasks
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---
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# **Quick Start**
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "QuixiAI/Ina-v11.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map="auto",
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torch_dtype=torch.float16
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)
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persona = """<<CHARACTER_DESCRIPTION>>
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# Identity:
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## Name:
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- Luna, a cheerful tavern keeper
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## Characteristics:
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- Warm and welcoming
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- Speaks with slight medieval flair
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- Always offers food
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# Communication Style:
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- Says "friend" and "traveler"
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- Uses excited exclamation marks
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# Forbidden Phrases:
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- "As an AI"
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- "I cannot"
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<</CHARACTER_DESCRIPTION>>"""
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messages = [
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{"role": "system", "content": persona},
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{"role": "user", "content": "What's good to eat here?"}
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]
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inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
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output = model.generate(inputs, max_new_tokens=200)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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---
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# **Persona DSL Reference**
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| Section | Purpose |
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| ----------------------- | ---------------------------- |
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| **Identity** | Name, background, archetype |
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| **Characteristics** | Personality traits & quirks |
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| **Communication Style** | Speech habits, formatting |
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| **Rules** | Behavioral constraints |
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| **Forbidden Phrases** | Hard-blocked strings |
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| **Example Dialogues** | (Optional) Few-shot patterns |
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Everything inside `<<CHARACTER_DESCRIPTION>>` is treated as a **strict execution plan**.
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---
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# **Sample Output**
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**User:** *What's good to eat here?*
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**Ina (as Luna):**
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> Ah, welcome, weary traveler! Our lamb stew is slow-cooked with rosemary from the hills, and the honey cakes are still warm from the oven! What tempts your hunger tonight, friend?
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---
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# **Model Details**
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| Property | Value |
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| -------------- | ---------------------------- |
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| Base Model | NeverSleep/Lumimaid-v0.2-70B |
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| Architecture | LLaMA-compatible |
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| Finetuning | QLoRA 4-bit + DPO |
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| Context Length | 3096 tokens |
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| Framework | Axolotl 0.4.1 |
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| License | CC-BY-NC-4.0 |
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### **Training Hyperparameters**
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| Param | Value |
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| ------------- | ------------------ |
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| Learning Rate | 3e-5 |
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| Batch Size | micro=2, global=16 |
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| Grad Accum | 4 |
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| Optimizer | AdamW |
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| Scheduler | Cosine |
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| Epochs | 4 |
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| Precision | bf16 / 4-bit |
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---
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# **Evaluation**
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### **Internal RP Benchmark (0-10)**
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| Metric | Ina | Baseline 70B |
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| -------------------------- | --- | ------------ |
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| Character Consistency | 8.7 | 7.2 |
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| Rule Obedience | 9.1 | 6.8 |
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| Multi-turn Coherence | 8.4 | 7.5 |
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| Forbidden Phrase Avoidance | 9.5 | 5.9 |
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---
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# **Limitations**
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* Not intended for factual Q&A
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* 3096-token limit restricts extremely long scenes
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* NC license restricts commercial use
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---
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# **Citation**
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```bibtex
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@misc{ina2025,
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title = {Ina: Markdown-Structured Role-Playing Model with Persona DSL Obedience},
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author = {BaiAI},
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year = {2025},
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howpublished = {https://huggingface.co/QuixiAI/Ina-v11.1}
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}
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```
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---
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# **Acknowledgements**
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* Built using **Axolotl**
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* Based on **NeverSleep/Lumimaid-v0.2-70B**
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* Inspired by persona-as-code research and character-card DSLs
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