deepseek llm 7b chat

Introduction

DeepSeek LLM is an advanced language model featuring 7 billion parameters, trained from scratch on a dataset containing 2 trillion tokens in English and Chinese. The model, available in 7B/67B Base and 7B/67B Chat versions, is open source to support research initiatives.

Architecture

The DeepSeek LLM model, specifically the deepseek-llm-7b-chat variant, consists of 7 billion parameters. It was initialized from the deepseek-llm-7b-base model and further fine-tuned with additional instructional data to enhance its capabilities.

Training

DeepSeek LLM was developed by training on a comprehensive dataset with an extensive variety of tokens in English and Chinese, enabling it to understand and generate human-like text responses across various conversational contexts.

Guide: Running Locally

To run the DeepSeek LLM model locally, follow these steps:

1. Install Dependencies: Ensure that you have PyTorch and the Transformers library installed.
2. Load the Model: Use the AutoTokenizer and AutoModelForCausalLM from the Transformers library to load the model.
3. Generate Text: Use the model's generate function to produce text based on input prompts.

For optimal performance, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure, which offer powerful computational resources necessary for handling large-scale models.

License

The code repository for DeepSeek LLM is licensed under the MIT License. The usage of DeepSeek LLM models is governed by a separate Model License, which permits commercial applications. For more information, refer to the LICENSE-MODEL.