license: llama3.1 pipeline_tag: text-generation language:

• ja
• en tags:
• japanese
• llama
• llama-3 inference: false

Llama-3.1-70B-Japanese-Instruct-2407

模型描述

这是一个基于meta-llama/Meta-Llama-3.1-70B-Instruct持续预训练的日语模型。

使用方法

确保通过pip install --upgrade transformers更新您的transformers安装。

from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer

model = AutoModelForCausalLM.from_pretrained("cyberagent/Llama-3.1-70B-Japanese-Instruct-2407", device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("cyberagent/Llama-3.1-70B-Japanese-Instruct-2407")
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

messages = [
    {"role": "user", "content": "AIによって私たちの暮らしはどのように変わりますか？"}
]

input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
output_ids = model.generate(input_ids,
                            max_new_tokens=1024,
                            streamer=streamer)

提示格式

Llama 3.1 格式

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>

{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{{ assistant_message_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>

{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

许可证

Meta Llama 3.1 社区许可证

作者

Ryosuke Ishigami

如何引用

@misc{cyberagent-llama-3.1-70b-japanese-instruct-2407,
      title={cyberagent/Llama-3.1-70B-Japanese-Instruct-2407},
      url={https://huggingface.co/cyberagent/Llama-3.1-70B-Japanese-Instruct-2407},
      author={Ryosuke Ishigami},
      year={2024},
}

引用文献

@article{llama3.1modelcard,
    title = {Llama 3.1 模型卡片},
    author = {AI@Meta},
    year = {2024},
    url = {https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md}
}