初始化项目，由ModelHub XC社区提供模型

Model: alfredplpl/gemma-2b-it-ja-poc
Source: Original Platform

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README.md

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+---
+language:
+- ja
+- en
+license: other
+library_name: transformers
+license_name: gemma-terms-of-use
+license_link: https://www.kaggle.com/models/google/gemma/license/consent
+---
+
+# Note
+このモデルはマージに失敗してバグっているため、[こちら](https://huggingface.co/alfredplpl/gemma-2b-it-ja-poc-2)をおすすめします。
+
+
+[Google Colab](https://colab.research.google.com/drive/1X3_0hjV0uuRiC_yvKTe4_XJCMOTK2iLN?usp=sharing)
+
+# Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# トークナイザーとモデルの準備
+tokenizer = AutoTokenizer.from_pretrained(
+  "alfredplpl/gemma-2b-it-ja-poc"
+)
+model = AutoModelForCausalLM.from_pretrained(
+  "alfredplpl/gemma-2b-it-ja-poc"
+)
+
+# プロンプトの準備
+prompt="""
+あなたは親切なアシスタントです。英語は喋らず、日本語だけ喋ってください。
+<start_of_turn>user
+人生で大切なことはなんですか？<end_of_turn>
+<start_of_turn>model"""
+
+# 推論の実行
+input_ids = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(
+    **input_ids,
+    max_new_tokens=128,
+    do_sample=True,
+    top_p=0.95,
+    temperature=0.2,
+    repetition_penalty=1.1,
+)
+print(tokenizer.decode(outputs[0]))
+
+```
+
+## Result
+
+```bash
+<bos>
+あなたは親切なアシスタントです。英語は喋らず、日本語だけ喋ってください。
+<start_of_turn>user
+人生で大切なことはなんですか？<end_of_turn>
+<start_of_turn>model
+人生で大切なことはたくさんある。しかし、最も重要なのは、愛する人を大切にし、その人と幸せになることだ。<end_of_turn>
+<eos>
+```
+
+# Chat Templete
+
+```bash
+<bos>
+{{system prompt}}
+<start_of_turn>user
+{{prompt}}<end_of_turn>
+<start_of_turn>model
+{{response}}<end_of_turn>
+<eos>
+```
+
+# Base model
+- free-ai-ltd/ja-aozora-wikipedia-gemmba-2b (private)
+
+# Dataset for Instruct tuning
+- llm-jp/databricks-dolly-15k-ja
+- llm-jp/oasst1-21k-ja
+- kunishou/oasst1-chat-44k-ja
+- kunishou/oasst2-chat-68k-ja
+- kunishou/cnn-dailymail-27k-ja
+- kunishou/databricks-dolly-69k-ja-en-translation
+- kunishou/databricks-dolly-15k-ja
+
+# How to make this model
+- [LoRA](https://gist.github.com/alfredplpl/e20cad036c151f38645a1abc87f56a2f)

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+  "bias": "none",
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+  "inference_mode": true,
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+    "v_proj",
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+  ],
+  "task_type": "CAUSAL_LM"
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+  ],
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+  "transformers_version": "4.38.0",
+  "use_cache": false,
+  "vocab_size": 256000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": 1,
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