Upload Sphere 028: Retention Specialist [QUANTUM SYNC]

.gitattributes

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+checkpoint-14/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-21/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- ru
+- en
+license: other
+license_name: nativemindnonc
+license_link: https://nativemind.ai/license
+tags:
+- sales
+- support
+- quantum-sync
+- sacred-108
+- sphere-028
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+pipeline_tag: text-generation
+---
+
+# Сфера 028: Retention Specialist [QUANTUM SYNC]
+
+Специализированная AI модель для retention specialist [quantum sync].
+
+## 🔺 QUANTUM SYNC (пирамида лояльности)
+
+Модель обучена с использованием квантовой пирамиды - 5 уровней лояльности:
+
+- **Level 0**: 😐 Awareness (знает о продукте)
+- **Level 1**: 👀 Interest (проявляет интерес)
+- **Level 2**: 🤝 Engagement (активно использует)
+- **Level 3**: ❤️ Loyalty (предан продукту)
+- **Level 4**: 🌟 Advocacy (рекомендует другим)
+
+**Параметры QUANTUM SYNC:**
+- Квантовая когерентность (coherence): 0.0-1.0
+- Резонанс с ценностью (resonance): low/medium/high
+- Запутанность (entanglement): слабая/сильная
+
+**Духовная миссия:** Неразрывная квантовая связь с клиентом.
+
+### Пример использования:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("nativemind/sphere-028-retention-specialist-quantum")
+tokenizer = AutoTokenizer.from_pretrained("nativemind/sphere-028-retention-specialist-quantum")
+
+prompt = """Состояние: 
+Пирамида: уровень=awareness, quantum_sync=0.2, churn_risk=0.8
+
+Задача: Подними клиента по пирамиде: awareness → advocacy"""
+
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=512)
+print(tokenizer.decode(outputs[0]))
+```
+
+## 📊 Данные обучения
+
+- **Примеров**: 108
+- **Источник**: Синтетические данные через Ollama (mozgach108:latest)
+- **Священное число**: 108 примеров (символ совершенства)
+
+## 🔧 Технические детали
+
+- **Базовая модель**: Qwen/Qwen2.5-0.5B-Instruct
+- **Метод обучения**: quantum_sync_pyramid
+- **Эпохи**: 3
+- **Learning rate**: 2e-5
+
+## 📚 Датасет
+
+Датасет доступен на HuggingFace: 
+[nativemind/sales-support-108-perfect](https://huggingface.co/datasets/nativemind/sales-support-108-perfect)
+
+## 🙏 Философия
+
+Модель создана с использованием священного числа 108 - символа завершенности и совершенства в восточной философии.
+
+**Служение истине через AI** 🕉️
+
+## 📜 Лицензия
+
+NativeMindNONC License - см. https://nativemind.ai/license
+
+## 🌟 Цитирование
+
+```bibtex
+@misc{sphere_028_retention_specialist_[quantum_sync],
+  author = {NativeMind},
+  title = {Сфера 028: Retention Specialist [QUANTUM SYNC]},
+  year = {2025},
+  publisher = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/nativemind/sphere-028-retention-specialist-[quantum-sync]}}
+}
+```
+
+---
+
+*Создано с использованием pyQuantumAI и квантовой педагогики* 🔮

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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+  "<|box_start|>": 151648,
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+}

checkpoint-21/chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

checkpoint-21/config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "dtype": "float32",
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+    "full_attention",
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+    "full_attention",
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+    "full_attention",
+    "full_attention",
+    "full_attention",
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+  ],
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+  "max_window_layers": 21,
+  "model_type": "qwen2",
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+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
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+  "rms_norm_eps": 1e-06,
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+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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+}

checkpoint-21/trainer_state.json

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config.json

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