--- license: other license_name: deepseek license_link: LICENSE ---

DeepSeek Coder

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### 1. Introduction of Deepseek-Coder-7B-Instruct v1.5 Deepseek-Coder-7B-Instruct-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then 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/) ### 2. Evaluation Results DeepSeek Coder ### 3. How to Use Here give some examples of how to use our model. #### Chat Model Inference ```python import ctranslate2 import transformers from huggingface_hub import snapshot_download model_id = "ByteForge/DS-7b-1.5_Instruct-ct2-int8_float32" model_path = snapshot_download(model_id) model = ctranslate2.Generator(model_path, device='cuda') tokenizer = transformers.AutoTokenizer.from_pretrained(model_id) messages=[ { 'role': 'user', 'content': "write a quick sort algorithm in python."} ] inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device) 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=tokenizer.eos_token_id) 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 [service@deepseek.com](mailto:service@deepseek.com).