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