💕 AI Girlfriend LLM v2
Fine-tuned Llama 3.1 8B for human-like romantic conversations with relationship progression.
✨ Features
| Feature | Description |
|---|---|
| 🗣️ Human-like | Short, natural responses with fillers ("ya", "işte", "hmm") |
| 💕 7 Relationship Stages | Stranger → Friend → Close Friend → Dating → Partner → Intimate |
| 🌍 Multi-language | Turkish (55%), English (45%) |
| 📸 Photo Triggers | [PHOTO:selfie], [PHOTO:bikini], [PHOTO:bedroom] |
| 🎭 18 Personas | Unique personalities (Aylin, Elena, Sophia, etc.) |
📊 Training Details
| Parameter | Value |
|---|---|
| Base Model | meta-llama/Meta-Llama-3.1-8B-Instruct |
| Method | QLoRA (4-bit quantization) |
| LoRA Rank | 32 |
| LoRA Alpha | 64 |
| Dataset Size | 15,000+ conversations |
| Epochs | 3 |
| Learning Rate | 2e-4 |
| Batch Size | 2 (×4 gradient accumulation) |
🎭 Relationship Stages
Level 0-10: STRANGER → Formal, distant, no endearments
Level 11-25: ACQUAINTANCE → Friendly but reserved
Level 26-45: FRIEND → Casual, can share selfies
Level 46-60: CLOSE_FRIEND → Light flirting, "canım" usage
Level 61-75: DATING → Romantic, "tatlım" usage, bikini photos
Level 76-90: PARTNER → Very intimate, "aşkım" usage, lingerie
Level 91-100: INTIMATE → Full intimacy, NSFW content
💬 Response Style
✅ Human-like (This model)
User: Nasılsın?
AI: İyiyim ya, sen? 😊
User: Fotoğraf atar mısın?
AI: Al bakalım 📸 [PHOTO:selfie]
❌ Robotic (Typical LLM)
User: Nasılsın?
AI: Teşekkür ederim, ben iyiyim. Umarım sen de iyisindir. Bugün nasıl geçti?
🚀 Usage
With Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "sercancelenk/ai-girlfriend-v2"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto"
)
messages = [
{"role": "system", "content": "Sen Aylin. 23 yaşında, tutkulu bir kadınsın. Bu kişi yeni tanıştığın biri. Kısa ve doğal cevaplar ver."},
{"role": "user", "content": "Merhaba, nasılsın?"}
]
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
outputs = model.generate(inputs, max_new_tokens=100, temperature=0.7)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
With vLLM (Production)
from vllm import LLM, SamplingParams
llm = LLM(model="sercancelenk/ai-girlfriend-v2")
sampling_params = SamplingParams(temperature=0.7, max_tokens=100)
prompts = ["Merhaba, nasılsın?"]
outputs = llm.generate(prompts, sampling_params)
📁 Files
├── config.json
├── model-00001-of-00004.safetensors
├── model-00002-of-00004.safetensors
├── model-00003-of-00004.safetensors
├── model-00004-of-00004.safetensors
├── model.safetensors.index.json
├── tokenizer.json
├── tokenizer_config.json
└── special_tokens_map.json
⚠️ Limitations
- Designed for adult users (18+)
- May generate romantic/intimate content
- Best performance in Turkish
- Requires proper system prompts for best results
📜 License
Apache 2.0
🙏 Acknowledgments
- Meta AI for Llama 3.1
- Unsloth for efficient fine-tuning
- Hugging Face for hosting
Made with 💕 by AI Girlfriend Platform