Stockmark 13b Instruct

🚀 Stockmark-13b-instruct

Stockmark-13b-instruct is an instruction-tuned version of Stockmark-13b, a 13-billion parameter Japanese Large Language Model (LLM). This model is developed by Stockmark Inc.. It offers enhanced performance in handling specific instructions, providing more accurate and relevant responses.

We used data (2023/11/03 version) from Project of Development of Japanese Instruction data for LLM for instruction tuning.

Please see our blog for more details.

🚀 Quick Start

💻 Usage Examples

Basic Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("stockmark/stockmark-13b-instruct", device_map="auto", torch_dtype=torch.bfloat16)
tokenizer = AutoTokenizer.from_pretrained("stockmark/stockmark-13b-instruct")

instruction = "自然言語処理とは？"

prompt = f"""### Input:
{instruction}

### Output:
"""

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad():
    tokens = model.generate(
        **inputs,
        max_new_tokens=128,
        do_sample=True,
        temperature=0.7
    )
    
output = tokenizer.decode(tokens[0], skip_special_tokens=True)
print(output)

📚 Documentation

Training dataset

Project of Development of Japanese Instruction data for LLM

📄 License

MIT

Developed by

Stockmark Inc.

Author

Takahiro Omi