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Llama-3-ELYZA-JP-8B

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Model Description

Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc. Based on meta-llama/Meta-Llama-3-8B-Instruct, it has been enhanced for Japanese usage through additional pre-training and instruction tuning. (Built with Meta Llama3)

For more details, please refer to our blog post.

Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

DEFAULT_SYSTEM_PROMPT = "ใ‚ใชใŸใฏ่ช ๅฎŸใงๅ„ช็ง€ใชๆ—ฅๆœฌไบบใฎใ‚ขใ‚ทใ‚นใ‚ฟใƒณใƒˆใงใ™ใ€‚็‰นใซๆŒ‡็คบใŒ็„กใ„ๅ ดๅˆใฏใ€ๅธธใซๆ—ฅๆœฌ่ชžใงๅ›ž็ญ”ใ—ใฆใใ ใ•ใ„ใ€‚"
text = "ไป•ไบ‹ใฎ็†ฑๆ„ใ‚’ๅ–ใ‚Šๆˆปใ™ใŸใ‚ใฎใ‚ขใ‚คใƒ‡ใ‚ขใ‚’5ใคๆŒ™ใ’ใฆใใ ใ•ใ„ใ€‚"

model_name = "elyza/Llama-3-ELYZA-JP-8B"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto",
)
model.eval()

messages = [
    {"role": "system", "content": DEFAULT_SYSTEM_PROMPT},
    {"role": "user", "content": text},
]
prompt = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
token_ids = tokenizer.encode(
    prompt, add_special_tokens=False, return_tensors="pt"
)

with torch.no_grad():
    output_ids = model.generate(
        token_ids.to(model.device),
        max_new_tokens=1200,
        do_sample=True,
        temperature=0.6,
        top_p=0.9,
    )
output = tokenizer.decode(
    output_ids.tolist()[0][token_ids.size(1):], skip_special_tokens=True
)
print(output)

Developers

Listed in alphabetical order.

License

Meta Llama 3 Community License

How to Cite

@misc{elyzallama2024,
      title={elyza/Llama-3-ELYZA-JP-8B},
      url={https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B},
      author={Masato Hirakawa and Shintaro Horie and Tomoaki Nakamura and Daisuke Oba and Sam Passaglia and Akira Sasaki},
      year={2024},
}

Citations

@article{llama3modelcard,
    title={Llama 3 Model Card},
    author={AI@Meta},
    year={2024},
    url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
}
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