|
--- |
|
license: other |
|
license_name: deepseek |
|
license_link: LICENSE |
|
--- |
|
|
|
<p align="center"> |
|
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true"> |
|
</p> |
|
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="https://discord.gg/Tc7c45Zzu5">[Discord]</a> | <a href="https://github.com/guoday/assert/blob/main/QR.png?raw=true">[Wechat(微信)]</a> </p> |
|
<hr> |
|
|
|
|
|
|
|
|
|
### 1. Introduction of Deepseek Coder |
|
|
|
Deepseek Coder comprises a series of code language models trained on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and a extra fill-in-the-blank task, to support project-level code completion and infilling. For coding capabilities, Deepseek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks. |
|
|
|
- **Massive Training Data**: Trained on 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages. |
|
|
|
- **Highly Flexible & Scalable**: Offered in model sizes of 1.3B, 5.7B, 6.7B, and 33B, enabling users to choose the setup most suitable for their requirements. |
|
|
|
- **Superior Model Performance**: State-of-the-art performance among publicly available code models on HumanEval, MultiPL-E, MBPP, DS-1000, and APPS benchmarks. |
|
|
|
- **Advanced Code Completion Capabilities**: A window size of 16K and a fill-in-the-blank task, supporting project-level code completion and infilling tasks. |
|
|
|
|
|
|
|
### 2. Model Summary |
|
deepseek-coder-6.7b-instruct is a 6.7B parameter model initialized from deepseek-coder-6.7b-base and fine-tuned on 2B tokens of instruction data. |
|
- **Home Page:** [DeepSeek](https://deepseek.com/) |
|
- **Repository:** [deepseek-ai/deepseek-coder](https://github.com/deepseek-ai/deepseek-coder) |
|
- **Chat With DeepSeek Coder:** [DeepSeek-Coder](https://coder.deepseek.com/) |
|
|
|
|
|
### 3. How to Use |
|
Here give some examples of how to use our model. |
|
#### Chat Model Inference |
|
```python |
|
from transformers import AutoTokenizer, AutoModelForCausalLM |
|
tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct", trust_remote_code=True) |
|
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct", trust_remote_code=True).cuda() |
|
messages=[ |
|
{ 'role': 'user', 'content': "write a quick sort algorithm in python."} |
|
] |
|
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device) |
|
# 32021 is the id of <|EOT|> token |
|
outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=32021) |
|
print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)) |
|
``` |
|
|
|
### 4. License |
|
This code repository is licensed under the MIT License. The use of DeepSeek Coder models is subject to the Model License. DeepSeek Coder supports commercial use. |
|
|
|
See the [LICENSE-MODEL](https://github.com/deepseek-ai/deepseek-coder/blob/main/LICENSE-MODEL) for more details. |
|
|
|
### 5. Contact |
|
|
|
If you have any questions, please raise an issue or contact us at [agi_code@deepseek.com](mailto:agi_code@deepseek.com). |
|
|
|
|
