From 85521c1f568706770f07be92e4609aa90e093a8b Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Sun, 25 Oct 2026 15:20:17 +0800
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Model: hwihwalab/dama-kurong-solopreneur-ko
Source: Original Platform
---
 .gitattributes                         |   38 +
 Modelfile                              |   14 +
 README.md                              |  182 +++
 chat_template.jinja                    |    5 +
 config.json                            |   68 +
 dama-kurong-solopreneur-ko.Q4_K_M.gguf |    3 +
 gemma-2-2b-it.Q4_K_M.gguf              |    3 +
 generation_config.json                 |   12 +
 model.safetensors                      |    3 +
 tokenizer.json                         |    3 +
 tokenizer.model                        |    3 +
 tokenizer_config.json                  | 2006 ++++++++++++++++++++++++
 12 files changed, 2340 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 Modelfile
 create mode 100644 README.md
 create mode 100644 chat_template.jinja
 create mode 100644 config.json
 create mode 100644 dama-kurong-solopreneur-ko.Q4_K_M.gguf
 create mode 100644 gemma-2-2b-it.Q4_K_M.gguf
 create mode 100644 generation_config.json
 create mode 100644 model.safetensors
 create mode 100644 tokenizer.json
 create mode 100644 tokenizer.model
 create mode 100644 tokenizer_config.json

diff --git a/.gitattributes b/.gitattributes
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+*.pickle filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+dama-kurong-solopreneur-ko.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-2b-it.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
diff --git a/Modelfile b/Modelfile
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index 0000000..a221e43
--- /dev/null
+++ b/Modelfile
@@ -0,0 +1,14 @@
+
+FROM gemma-2-2b-it.Q4_K_M.gguf
+TEMPLATE """<start_of_turn>user
+{{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn>
+<start_of_turn>model
+{{ .Response }}<end_of_turn>
+"""
+PARAMETER repeat_penalty 1
+PARAMETER stop "<start_of_turn>"
+PARAMETER stop "<end_of_turn>"
+PARAMETER penalize_newline false
+PARAMETER temperature 1.5
+PARAMETER min_p 0.1
+PARAMETER num_ctx 4096
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..ba9339a
--- /dev/null
+++ b/README.md
@@ -0,0 +1,182 @@
+---
+language:
+- ko
+- en
+license: gemma
+library_name: transformers
+tags:
+- unsloth
+- gemma
+- gemma-2
+- lora
+- gguf
+- on-device
+- solopreneur
+- assistant
+- tamagotchi
+- kurong
+- korean
+- text-generation
+base_model: google/gemma-2-2b-it
+pipeline_tag: text-generation
+---
+
+# 🐾 dama-kurong-solopreneur-ko (Kurong)
+
+<p align="left">
+  <img src="https://img.shields.io/badge/Language-Korean%20(Primary)%20%7C%20English-blue?style=flat-square" alt="Language">
+  <img src="https://img.shields.io/badge/Base%20Model-Google%20Gemma--2--2B--it-4285F4?style=flat-square&logo=google" alt="Base Model">
+  <img src="https://img.shields.io/badge/Finetuned%20with-Unsloth-FF6F00?style=flat-square" alt="Unsloth">
+  <img src="https://img.shields.io/badge/License-Gemma-lightgrey?style=flat-square" alt="License">
+  <img src="https://img.shields.io/badge/Persona-Kurong%20%F0%9F%90%BE-FFB6C1?style=flat-square" alt="Persona">
+  <img src="https://img.shields.io/badge/Version-v1.1%20Patched-green?style=flat-square" alt="Version">
+</p>
+
+> 🔔 **Latest Update (v1.1)**
+> * 🛑 **EOS Token Fix**: Completely resolved the endless generation / repetition loop by reinforcing the `<end_of_turn>` stop token.
+> * 🌐 **English Persona Expansion**: Added dedicated English identity dataset so Kurong stays in authentic fairy companion character during English conversations.
+> * *(Existing users: Please re-download the latest GGUF for the best experience!)*
+
+---
+
+**`dama-kurong-solopreneur-ko`** is a lightweight, on-device AI companion and assistant model specifically tailored for **solopreneurs, indie hackers, and freelancers**.
+
+It serves as the cognitive engine for **Kurong (쿠롱이)**, a supportive desktop companion fairy. Fine-tuned from Google's `gemma-2-2b-it` using Unsloth LoRA, the model incorporates over **50+ practical bilingual playbooks (40+ Korean, 10+ English)** covering customer support, outage response, MVP pruning, and deep-work routine resets delivered with a warm, caring persona.
+
+---
+
+### 🔍 Linguistic & Persona Capabilities
+* **Primary Language (Korean):** Deeply optimized for natural, polite Korean conversational tone and localized solopreneur business advice.
+* **Secondary Language (English):** Capable of general comprehension and basic responses inheriting Gemma-2 pre-trained knowledge with Kurong persona support.
+* **Format:** GGUF (`Q4_K_M`) optimized for ultra-fast on-device local execution using **LM Studio**, **Ollama**, and **llama.cpp**.
+
+---
+
+## 🎮 Try with Dama-AI Web Companion (Interactive Playground)
+
+Experience **Kurong** on an interactive desktop Tamagotchi screen! Launch your local inference server (**LM Studio** or **Ollama**) and connect seamlessly via the web client:
+
+<p align="left">
+  <a href="https://wonseokjung.github.io/tamagochi-ai/" target="_blank">
+    <img src="https://img.shields.io/badge/🎮_Launch_Dama--AI_Web-Free_Simulator-FF6F00?style=for-the-badge" alt="Dama-AI Web">
+  </a>
+  <a href="https://youtu.be/uqoOL4kCxXw?si=Bnq33IVrLmjXZnMI" target="_blank">
+    <img src="https://img.shields.io/badge/📺_Watch_Setup_Guide-YouTube-FF0000?style=for-the-badge&logo=youtube" alt="YouTube Tutorial">
+  </a>
+</p>
+
+---
+
+## ✨ Key Features
+
+* **💼 Solopreneur Business Playbooks**: Pre-embedded guidelines for first-paid-user CS, outage apology notices, MVP scope definition, and mental burnout recovery.
+* **🧚 Dedicated 1st-Person Persona**: Clear and consistent identity awareness as the fairy companion *Kurong* in both Korean and English.
+* **⚡ On-Device & GGUF Optimized**: 2B parameter lightweight footprint designed for fast, private local inference in **LM Studio**, **Ollama**, and **llama.cpp** (`dama-kurong-solopreneur-ko.Q4_K_M.gguf`).
+* **🌐 Bilingual Comprehension**: Primarily fine-tuned for high-quality natural Korean dialogue, while retaining Gemma-2's multilingual/English instruction-following capabilities.
+
+---
+
+## 💡 Prompt Template (Gemma-2 Format)
+
+This model follows the standard Gemma-2 chat turn structure:
+
+```text
+<start_of_turn>user
+첫 유료 결제 고객 응대 팁 알려줘<end_of_turn>
+<start_of_turn>model
+```
+
+> 💡 **Pro-Tip for English Conversations**:
+> Since the model is primarily trained on Korean datasets, if it occasionally responds in Korean to an English question, simply append **"Please reply in English"** or **"Answer in English"** to your prompt for the best English output!  
+> *(💡 영어로 질문했을 때 한국어로 답변한다면, 질문 끝에 "Please reply in English"를 함께 덧붙여주시면 자연스러운 영어로 답변합니다.)*
+
+---
+
+## 🚀 Quickstart (Inference Examples)
+
+### 1. Python (`transformers`)
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "hwihwalab/dama-kurong-solopreneur-ko"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+messages = [
+    {"role": "user", "content": "첫 유료 결제 고객 응대 알려줘"}
+]
+
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=256,
+    temperature=0.7,
+    top_p=0.9,
+    eos_token_id=tokenizer.convert_tokens_to_ids("<end_of_turn>")
+)
+
+print(tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
+```
+
+### 2. LM Studio (Local GUI)
+1. Open LM Studio and search for `hwihwalab/dama-kurong-solopreneur-ko` (or press `Ctrl + Shift + M`).
+2. Download `dama-kurong-solopreneur-ko.Q4_K_M.gguf`.
+3. Load the model in the **Chat** tab and start interacting locally.
+
+### 3. Ollama (`Modelfile`)
+```dockerfile
+FROM ./dama-kurong-solopreneur-ko.Q4_K_M.gguf
+
+TEMPLATE """<start_of_turn>user
+{{ .Prompt }}<end_of_turn>
+<start_of_turn>model
+"""
+
+PARAMETER stop "<start_of_turn>"
+PARAMETER stop "<end_of_turn>"
+```
+
+---
+
+## 💬 Example Queries
+
+| Category | Example Prompt (Korean / English) | Intent & Response Focus |
+| :--- | :--- | :--- |
+| **Persona (정체성)** | `너는 누구야?`<br>`Who are you?` | Authentic Tamagotchi fairy companion awareness |
+| **Customer Support (CS)** | `첫 유료 결제 고객 응대 알려줘`<br>`Tips for first paying customer CS` | Personal thank-you guide & superfan building |
+| **Incident Response (위기 대응)** | `서비스 장애 사고 대처 알려줘`<br>`How to handle server downtime` | Transparent apology & trust recovery playbook |
+| **Business Strategy (MVP)** | `첫 출시용 최소 기능 고르는 법 알려줘`<br>`How to prioritize core MVP features` | Core feature selection & launch scope pruning |
+| **Mental & Routine (루틴)** | `작업 중 뇌 피로 회복법 알려줘`<br>`How to recover from brain fatigue` | 5-minute cognitive reset & burnout prevention |
+
+---
+
+## 📄 License & Usage Terms
+
+This model is fine-tuned from **Google Gemma-2-2B-it** and is governed by the [Gemma Terms of Use](https://ai.google.dev/gemma/terms). Users and commercial adopters are free to use, modify, and distribute this model in accordance with Google's Prohibited Use Policy.
+
+---
+
+<details>
+<summary>🇰🇷 한국어 소개 및 라이선스 안내 (Click to expand Korean summary)</summary>
+
+### 📖 모델 개요
+`dama-kurong-solopreneur-ko`는 1인 창업가, 인디 해커, 프리랜서를 돕는 데스크톱 다마고치 비서 요정 **쿠롱이**의 온디바이스 AI 모델입니다.
+Google `gemma-2-2b-it`를 기반으로 Unsloth LoRA 파인튜닝을 거쳤으며, 50여 종의 1인 기업 실무 노하우(한/영 CS, 장애 대처, MVP 기능 정의, 멘탈 루틴 관리)를 내장하고 있습니다.
+
+### 📜 라이선스 안내
+본 모델은 Google의 Gemma 라이선스를 준수합니다. 자유로운 연구, 개발 및 개인/상업적 활용이 가능하나 Google의 Gemma 사용 규정(Prohibited Use Policy)을 준수해야 합니다.
+
+</details>
+
+---
+
+*Trained and fine-tuned for [Dama-AI] by **Hwihwa Lab** ([@hwihwalab](https://huggingface.co/hwihwalab))*
diff --git a/chat_template.jinja b/chat_template.jinja
new file mode 100644
index 0000000..599d085
--- /dev/null
+++ b/chat_template.jinja
@@ -0,0 +1,5 @@
+{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ '<start_of_turn>user
+' + message['content'] + '<end_of_turn>
+<start_of_turn>model
+' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + '<end_of_turn>
+' }}{% endif %}{% endfor %}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..0f44daf
--- /dev/null
+++ b/config.json
@@ -0,0 +1,68 @@
+{
+    "architectures": [
+        "Gemma2ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": 50.0,
+    "bos_token_id": 2,
+    "cache_implementation": "hybrid",
+    "torch_dtype": "bfloat16",
+    "eos_token_id": [
+        1,
+        107
+    ],
+    "final_logit_softcapping": 30.0,
+    "head_dim": 256,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 2304,
+    "initializer_range": 0.02,
+    "intermediate_size": 9216,
+    "layer_types": [
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 8192,
+    "model_type": "gemma2",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 26,
+    "num_key_value_heads": 4,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": 4096,
+    "tie_word_embeddings": true,
+    "unsloth_version": "2024.9",
+    "use_bidirectional_attention": null,
+    "use_cache": true,
+    "vocab_size": 256000
+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
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--- /dev/null
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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": [
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+  "pad_token_id": 0,
+  "transformers_version": "5.5.0"
+}
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new file mode 100644
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--- /dev/null
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+{
+  "backend": "tokenizers",
+  "bos_token": "<bos>",
+  "eos_token": "<end_of_turn>",
+  "is_local": true,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
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+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "209": {
+      "content": "</em>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "210": {
+      "content": "</b>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "211": {
+      "content": "</i>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "212": {
+      "content": "</u>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "213": {
+      "content": "</s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "214": {
+      "content": "</sub>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "215": {
+      "content": "</sup>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "216": {
+      "content": "</code>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255968": {
+      "content": "[toxicity=0]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255969": {
+      "content": "\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255970": {
+      "content": "\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255971": {
+      "content": "\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255972": {
+      "content": "\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255973": {
+      "content": "\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255974": {
+      "content": "\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255975": {
+      "content": "\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255976": {
+      "content": "\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255977": {
+      "content": "\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255978": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255979": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255980": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255981": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255982": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255983": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255984": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255985": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255986": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255987": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255988": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255989": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255990": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255991": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255992": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255993": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255994": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255995": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255996": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255997": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255998": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "255999": {
+      "content": "<unused99>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    }
+  },
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ '<start_of_turn>user\n' + message['content'] + '<end_of_turn>\n<start_of_turn>model\n' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + '<end_of_turn>\n' }}{% endif %}{% endfor %}"
+}
\ No newline at end of file