diff --git a/Evaluation/HumanEval/__pycache__/humaneval.cpython-38.pyc b/Evaluation/HumanEval/__pycache__/humaneval.cpython-38.pyc deleted file mode 100644 index 65393ec..0000000 Binary files a/Evaluation/HumanEval/__pycache__/humaneval.cpython-38.pyc and /dev/null differ diff --git a/README.md b/README.md index 0af4daa..21142aa 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ 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.

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- **Massive Training Data**: Trained on 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages. diff --git a/pictures/result.jpeg b/pictures/result.jpeg new file mode 100644 index 0000000..539ecfa Binary files /dev/null and b/pictures/result.jpeg differ diff --git a/pictures/result.png b/pictures/result.png deleted file mode 100644 index 366c7bc..0000000 Binary files a/pictures/result.png and /dev/null differ