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<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://discord.gg/Tc7c45Zzu5">[Discord]</a> | <a href="https://github.com/
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### 1. Introduction of Deepseek LLM
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Introducing DeepSeek LLM, an advanced language model comprising
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<img src="images/llm_radar.png" alt="result" width="70%">
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- **Superior General Capabilities:** DeepSeek LLM 67B Base outperforms Llama2 70B Base in areas such as reasoning, coding, math, and Chinese comprehension.
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- **Proficient in Coding and Math:** DeepSeek LLM 67B Chat exhibits outstanding performance in coding (HumanEval Pass@1: 73.78) and mathematics (GSM8K 0-shot: 84.1, Math 4-shot: 32.6). It also demonstrates remarkable generalization abilities, as evidenced by its exceptional score of 65 on the Hungarian National High School Exam.
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- **Mastery in Chinese Language:** Based on our evaluation, DeepSeek LLM 67B Chat surpasses GPT-3.5 in Chinese.
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### 2. Model Summary
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deepseek-llm-7b-base is a 7B parameter model with Multi-Head Attention trained on 2 trillion tokens from scratch.
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- **Home Page:** [DeepSeek](https://deepseek.com/)
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- **Repository:** [deepseek-ai/deepseek-
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- **Chat With DeepSeek Coder:** [DeepSeek-
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### 3. How to Use
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Here give some examples of how to use our model.
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####
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
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<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
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<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://discord.gg/Tc7c45Zzu5">[Discord]</a> | <a href="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/qr.jpeg">[Wechat(微信)]</a> </p>
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### 1. Introduction of Deepseek LLM
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Introducing DeepSeek LLM, an advanced language model comprising 7 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. In order to foster research, we have made DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat open source for the research community.
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### 2. Model Summary
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deepseek-llm-7b-base is a 7B parameter model with Multi-Head Attention trained on 2 trillion tokens from scratch.
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- **Home Page:** [DeepSeek](https://deepseek.com/)
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- **Repository:** [deepseek-ai/deepseek-LLM](https://github.com/deepseek-ai/deepseek-LLM)
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- **Chat With DeepSeek Coder:** [DeepSeek-LLM](https://chat.deepseek.com/)
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### 3. How to Use
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Here give some examples of how to use our model.
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#### Text Completion
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
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