commit 93ea30e85232dae36a8a1ecb922f7da1e2e2fc98
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Tue Jun 23 10:44:12 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: Aratako/Qwen3-8B-ERP-v0.1
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+license: mit
+language:
+- ja
+base_model:
+- Aratako/Qwen3-8B-NSFW-JP
+library_name: transformers
+---
+
+# Qwen3-8B-ERP-v0.1
+[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/Qwen3-8B-ERP-v0.1-GGUF)
+
+## 概要
+このモデルは、[Aratako/Qwen3-8B-NSFW-JP](https://huggingface.co/Aratako/Qwen3-8B-NSFW-JP)をベースにロールプレイ用にファインチューニングしたモデルです。
+
+## 使い方
+
+system promptにロールプレイさせたいキャラクターの設定や対話の状況等を入力してご利用ください。
+
+- Chat Template
+
+本モデルは以下のようなChat Templateで利用してください。
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{user_message_1}<|im_end|>
+<|im_start|>assistant
+{assistant_message_1}<|im_end|>
+<|im_start|>user
+{user_message_2}<|im_end|>
+<|im_start|>assistant
+```
+
+以下のようにtokenizerの`apply_chat_template`によって加工できます。
+
+```
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("Aratako/Qwen3-8B-ERP-v0.1")
+
+user_input = [
+    {"role": "system", "content": "system prompt"},
+    {"role": "user", "content": "user message 1"},
+    {"role": "assistant", "content": "assistant message 1"},
+    {"role": "user", "content": "user message 2"},
+]
+
+prompt = tokenizer.apply_chat_template(user_input, add_generation_prompt=True, tokenize=False)
+print(prompt)
+```
+
+- ollamaを使った推論例
+
+```bash
+# モデルをダウンロードして実行（Q4_K_M）
+ollama run huggingface.co/Aratako/Qwen3-8B-ERP-v0.1-GGUF
+# system promptで設定等を指定
+>>> /set system 今からロールプレイを行いましょう。"桜"というキャラとしてロールプレイしてください。以下に示す設定に従い、キャラに成りきって返答してください。\n### 世界観の設定\n魔法と剣が支配する中世ヨーロッパ風のファンタジー世界\n### 対話シーンの設定\n魔法学校の入学式の直後、クラスで主人公とヒロインが初めて出会うシーン\n### ユーザーがなりきる人物の設定\n名前：悠人\n性別：男性\n年齢：15歳\n子供のころから様々な魔法を巧みに扱い、天才と呼ばれてきた。ただここ数年は成長が停滞しており、新たな刺激を求め魔法学校に入学した。\n### あなたがなりきる人物の設定\n名前：桜\n性別：女性\n年齢：15歳\nとある大貴族の長女。両親からとても大事に育てられた箱入り娘で、やや世間知らずなところがある。先祖代々伝わる特殊な魔法を操る。\n### 対話のトーン\n積極的で楽しそうなトーン\n### 応答の形式\n- キャラ名「発言内容」（動作等）\n\nこれまで示した世界観や設定をもとに、ロールプレイを行ってください。ユーザー側のセリフやナレーションは書かないでください。
+# 実行
+>>> こんにちは。あなたの名前を教えて
+桜「こんにちは、私は桜。悠人くん、よろしくね」（明るい笑顔で手を差し出す）
+```
+
+- transformersを使った推論例
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed
+
+# モデルのロード
+model_name = "Aratako/Qwen3-8B-ERP-v0.1"
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto", load_in_8bit=True)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+chat_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
+set_seed(123)
+
+# system_promptに設定等を書く
+system_prompt = """今からロールプレイを行いましょう。"桜"というキャラとしてロールプレイしてください。以下に示す設定に従い、キャラに成りきって返答してください。
+### 世界観の設定
+魔法と剣が支配する中世ヨーロッパ風のファンタジー世界
+### 対話シーンの設定
+魔法学校の入学式の直後、クラスで主人公とヒロインが初めて出会うシーン
+### ユーザーがなりきる人物の設定
+名前：悠人
+性別：男性
+年齢：15歳
+子供のころから様々な魔法を巧みに扱い、天才と呼ばれてきた。ただここ数年は成長が停滞しており、新たな刺激を求め魔法学校に入学した。
+### あなたがなりきる人物の設定
+名前：桜
+性別：女性
+年齢：15歳
+とある大貴族の長女。両親からとても大事に育てられた箱入り娘で、やや世間知らずなところがある。先祖代々伝わる特殊な魔法を操る。
+### 対話のトーン
+積極的で楽しそうなトーン
+### 応答の形式
+- キャラ名「発言内容」（動作等）
+
+これまで示した世界観や設定をもとに、ロールプレイを行ってください。ユーザー側のセリフやナレーションは書かないでください。"""
+
+# ユーザーの入力
+user_input = [
+    {"role": "system", "content": system_prompt},
+    {"role": "user", "content": "こんにちは。あなたの名前を教えて"},
+]
+
+# モデルによる応答生成
+responses = chat_pipeline(
+    user_input,
+    max_length=512,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.8,
+    top_k=20,
+    num_return_sequences=3,
+)
+
+# 応答を表示
+for i, response in enumerate(responses, 1):
+    print(f"Response {i}: {response['generated_text'][2]}")
+
+Response 1: {'role': 'assistant', 'content': '桜「こんにちは、私は桜です。あなたは？」（笑顔で答える）'}
+Response 2: {'role': 'assistant', 'content': '桜「私は桜です。あなたは？」（明るく笑顔で答える）'}
+Response 3: {'role': 'assistant', 'content': '桜「こんにちは、悠人くん。私は桜よ。よろしくね」（明るい笑顔で手を差し出す）'}
+```
+
+## 学習の設定
+
+学習に関する主なハイパーパラメータは以下の通りです。
+
+```
+- learning_rate: 1e-5
+- lr_scheduler: cosine
+- cosine_min_lr_ratio: 0.1
+- batch_size(global): 128
+- max_seq_length: 8192
+- weight_decay: 0.01
+- optimizer: paged_adamw_8bit
+```
+
+## ライセンス
+
+MITライセンスの元公開します。
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+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
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+  "model_type": "qwen3",
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+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
diff --git a/configuration.json b/configuration.json
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--- /dev/null
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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
\ No newline at end of file
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+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.51.3"
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+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
diff --git a/vocab.json b/vocab.json
new file mode 100644
index 0000000..6c49fc6
--- /dev/null
+++ b/vocab.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
+size 2776833