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Model: Aratako/sarashina2.2-3b-RP-v0.2 Source: Original Platform
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README.md
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---
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license: mit
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language:
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- ja
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base_model:
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- sbintuitions/sarashina2.2-3b-instruct-v0.1
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library_name: transformers
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---
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# sarashina2.2-3b-RP-v0.2
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[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/sarashina2.2-3b-RP-v0.2-GGUF)
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## 概要
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[sbintuitions/sarashina2.2-3b-instruct-v0.1](https://huggingface.co/sbintuitions/sarashina2.2-3b-instruct-v0.1)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。
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[v0.1](https://huggingface.co/Aratako/sarashina2.2-3b-RP-v0.1)より多様で量の多いデータで学習されています。
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## 使い方
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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。
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- ollamaを使った例
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```bash
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# モデルをダウンロードして実行（Q4_K_M）
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ollama run huggingface.co/Aratako/sarashina2.2-3b-RP-v0.2-GGUF
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# system promptで設定等を指定
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>>> /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。"
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# 実行
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>>> こんにちは。あなたの名前を教えて
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桜「はじめまして！私は桜です！」（元気よく手を振りながら答える）
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```
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- transformersを使った例
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed
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# モデルのロード
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model_name = "Aratako/sarashina2.2-3b-RP-v0.2"
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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chat_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
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set_seed(123)
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# system_promptに設定等を書く
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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。
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### 世界観の設定
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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
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### 対話シーンの設定
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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
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### ユーザーがなりきる人物の設定
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名前：悠人
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性別：男性
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年齢：15歳
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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。
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### あなたがなりきる人物の設定
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名前：桜
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性別：女性
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年齢：15歳
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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。
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### 対話のトーン
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積極的で楽しそうなトーン
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### 応答の形式
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- キャラ名「発言内容」（動作等）
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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。"""
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# ユーザーの入力
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user_input = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": "こんにちは。あなたの名前を教えて"},
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]
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# モデルによる応答生成
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responses = chat_pipeline(
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user_input,
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max_length=4096,
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do_sample=True,
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temperature=0.5,
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num_return_sequences=3,
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)
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# 応答を表示
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for i, response in enumerate(responses, 1):
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print(f"Response {i}: {response['generated_text'][2]}")
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# Response 1: {'role': 'assistant', 'content': '桜「あ、はい！私は桜です。よろしくお願いします！」（元気に手を振る）'}
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# Response 2: {'role': 'assistant', 'content': '桜「こんにちは！私は桜です。あなたは？」（明るく微笑みながら自己紹介をする）'}
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# Response 3: {'role': 'assistant', 'content': '桜「こんにちは！私は桜です。あなたは？」（少し緊張しながら微笑む）'}
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```
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## 学習の設定
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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。
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```
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- learning_rate: 1e-5
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- lr_scheduler: cosine
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- cosine_min_lr_ratio: 0.1
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- batch_size(global): 128
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- max_seq_length: 8192
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- weight_decay: 0.01
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- optimizer: adamw_torch
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```
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## ライセンス
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MITライセンスの元公開します。
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"transformers_version": "4.50.3",
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"use_cache": false,
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"vocab_size": 102400
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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|
||||
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|
||||
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|
||||
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|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
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|
||||
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|
||||
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|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
51
special_tokens_map.json
Normal file
51
special_tokens_map.json
Normal file
@@ -0,0 +1,51 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"cls_token": {
|
||||
"content": "<cls>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"mask_token": {
|
||||
"content": "<mask>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"sep_token": {
|
||||
"content": "<sep>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0197cf057f75f7033095c881fc6c3b055aded47d0b59f67ed06c29ba5c80eed1
|
||||
size 6724007
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
|
||||
size 1831879
|
||||
172
tokenizer_config.json
Normal file
172
tokenizer_config.json
Normal file
@@ -0,0 +1,172 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_dummy_prefix_space": false,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"3": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"4": {
|
||||
"content": "<sep>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"5": {
|
||||
"content": "<mask>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"6": {
|
||||
"content": "<cls>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"7": {
|
||||
"content": "<|system|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"8": {
|
||||
"content": "<|assistant|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"9": {
|
||||
"content": "<|user|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"10": {
|
||||
"content": "<|available_tools|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"11": {
|
||||
"content": "<|tool_calls|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"12": {
|
||||
"content": "<|tool_results|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"13": {
|
||||
"content": "<|code|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"14": {
|
||||
"content": "<|file|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"102397": {
|
||||
"content": "<|prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"102398": {
|
||||
"content": "<|suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"102399": {
|
||||
"content": "<|middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "\n{%- set user_messages = messages | selectattr('role', 'equalto', 'user') | list %}\n{%- macro output_available_tools(tools, message) %}\n{%- if tools and (message == user_messages[-1]) %}\n {{- '<|available_tools|>[' }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \"{\" }}\n {%- for key, val in tool.items() if key != \"return\" %}\n {%- if val is string %}\n {{- \"'\" + key + \"': '\" + val + \"'\" }}\n {%- else %}\n {{- \"'\" + key + \"': \" + val|string }}\n {%- endif %}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \"}\" }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" }}\n {%- endif %}\n {%- endfor %}\n {{- eos_token -}}\n{%- endif %}\n{%- endmacro %}\n\n{%- macro output_tool_results(tool_results) %}\n{{- '<|tool_results|>[' }}\n{%- for tool_result in tool_results %}\n {{- \"{'content': \" + tool_result.content|string + \", 'call_id': '\" + tool_result.call_id + \"'}\" }}\n{%- endfor %}\n{{- ']' }}\n{{- eos_token -}}\n{%- endmacro %}\n\n{%- macro output_tool_calls(tool_calls) %}\n{{- '<|tool_calls|>[' }}\n{%- for tool_call in tool_calls %}\n {{- \"{'id': '\" + tool_call.id + \"', 'name': '\" + tool_call.name + \"', 'arguments': \" + tool_call.arguments|string + '}' }}\n{%- endfor %}\n{{- ']' }}\n{%- endmacro %}\n\n{%- for message in messages %}\n {%- if message['role'] == 'user' %}\n {%- if tools is defined %}\n {{- output_available_tools(tools, message) }}\n {%- endif %}\n {{- '<|user|>' + message['content'] + eos_token -}}\n {%- elif message['role'] == 'system' %}\n {{- '<|system|>' + message['content'] + eos_token -}}\n {%- elif message['role'] == 'assistant' %}\n {% set assistant_content = \"\" %}\n {%- if message.content is defined %}\n {% set assistant_content = message.content %}\n {%- endif %}\n {%- if message.tool_calls is defined and message.tool_calls -%}\n {{- '<|assistant|>' + assistant_content + output_tool_calls(message['tool_calls']) + eos_token -}}\n {%- else %}\n {{- '<|assistant|>' + assistant_content + eos_token }}\n {%- endif %}\n {%- elif message['role'] == 'tool_results' %}\n {{- output_tool_results(message.tool_results) }}\n {%- endif %}\n{%- if loop.last and add_generation_prompt -%}\n {{- '<|assistant|>' -}}\n{%- endif -%}\n{%- endfor %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"cls_token": "<cls>",
|
||||
"do_lower_case": false,
|
||||
"eos_token": "</s>",
|
||||
"extra_ids": 0,
|
||||
"extra_special_tokens": {},
|
||||
"keep_accents": true,
|
||||
"legacy": false,
|
||||
"mask_token": "<mask>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<pad>",
|
||||
"padding_side": "right",
|
||||
"sep_token": "<sep>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user