Deepseek Math 7b Base

🚀 DeepSeek Math

DeepSeek Math is a model with strong mathematical capabilities. It provides text completion and other functions, supporting commercial use.

🚀 Quick Start

For more detailed information about DeepSeek Math, please refer to the Introduction.

💻 Usage Examples

Basic Usage

Here are some examples of how to use our model for text completion:

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_name = "deepseek-ai/deepseek-math-7b-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
model.generation_config = GenerationConfig.from_pretrained(model_name)
model.generation_config.pad_token_id = model.generation_config.eos_token_id

text = "The integral of x^2 from 0 to 2 is"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs.to(model.device), max_new_tokens=100)

result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)

📄 License

This code repository is licensed under the MIT License. The use of DeepSeekMath models is subject to the Model License. DeepSeekMath supports commercial use.

See the LICENSE-MODEL for more details.

📞 Contact

If you have any questions, please raise an issue or contact us at service@deepseek.com.

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Paper Link👁️