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Model: sercancelenk/ai-girlfriend-v2
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- tr
+- en
+- de
+- fr
+- es
+- ar
+tags:
+- llama
+- conversational
+- girlfriend
+- chatbot
+- fine-tuned
+- turkish
+- romantic
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+pipeline_tag: text-generation
+---
+
+# 💕 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
+
+```python
+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)
+
+```python
+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**

chat_template.jinja

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+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 128000,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 128009,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 131072,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "pad_token_id": 128004,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": {
+        "factor": 8.0,
+        "high_freq_factor": 4.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 8192,
+        "rope_type": "llama3"
+    },
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": false,
+    "transformers_version": "4.57.3",
+    "unsloth_fixed": true,
+    "unsloth_version": "2025.12.10",
+    "use_cache": true,
+    "vocab_size": 128256
+}

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