Voozh

Llama-3-ELYZA-JP-8B

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 = "あなたは誠実で優秀な日本人のアシスタントです。特に指示が無い場合は、常に日本語で回答してください。"
text = "仕事の熱意を取り戻すためのアイデアを5つ挙げてください。"

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}
}