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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---
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language:
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- ja
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- en
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license: other
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library_name: transformers
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license_name: gemma-terms-of-use
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license_link: https://www.kaggle.com/models/google/gemma/license/consent
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---
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# Note
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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。
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[Google Colab](https://colab.research.google.com/drive/1X3_0hjV0uuRiC_yvKTe4_XJCMOTK2iLN?usp=sharing)
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# Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# トークナイザーとモデルの準備
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tokenizer = AutoTokenizer.from_pretrained(
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"alfredplpl/gemma-2b-it-ja-poc"
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)
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model = AutoModelForCausalLM.from_pretrained(
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"alfredplpl/gemma-2b-it-ja-poc"
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)
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# プロンプトの準備
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prompt="""
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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。
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<start_of_turn>user
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人生で大切なことはなんですか？<end_of_turn>
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<start_of_turn>model"""
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# 推論の実行
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input_ids = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**input_ids,
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max_new_tokens=128,
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do_sample=True,
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top_p=0.95,
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temperature=0.2,
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repetition_penalty=1.1,
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)
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print(tokenizer.decode(outputs[0]))
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```
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## Result
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```bash
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<bos>
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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。
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<start_of_turn>user
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人生で大切なことはなんですか？<end_of_turn>
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<start_of_turn>model
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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>
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<eos>
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```
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# Chat Templete
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```bash
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<bos>
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{{system prompt}}
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<start_of_turn>user
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{{prompt}}<end_of_turn>
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<start_of_turn>model
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{{response}}<end_of_turn>
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<eos>
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```
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# Base model
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- free-ai-ltd/ja-aozora-wikipedia-gemmba-2b (private)
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# Dataset for Instruct tuning
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- llm-jp/databricks-dolly-15k-ja
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- llm-jp/oasst1-21k-ja
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- kunishou/oasst1-chat-44k-ja
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- kunishou/oasst2-chat-68k-ja
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- kunishou/cnn-dailymail-27k-ja
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- kunishou/databricks-dolly-69k-ja-en-translation
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- kunishou/databricks-dolly-15k-ja
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# How to make this model
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- [LoRA](https://gist.github.com/alfredplpl/e20cad036c151f38645a1abc87f56a2f)
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30
special_tokens_map.json
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30
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Normal file
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3
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Normal file
3
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3
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3
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50
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Normal file
50
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Normal file
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||||
}
|
||||
Reference in New Issue
Block a user