--- 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) prompt= "plot a cgart for visualising employee and their years of experience.Assume any sample data df" messages = [ {"role": "system", "content": "You are world class python programmer with deep expertise in Ploty for data visualisation and analysis. Given a input question and schema, answer with correct python plotly code"}, {"role": "user", "content": prompt}, ] input_ids = tokenizer1.apply_chat_template( messages, tokenize=False, add_generation_prompt=True ) terminators = [ tokenizer1.eos_token_id, tokenizer1.convert_tokens_to_ids("<|eot_id|>") ] input_tokens = tokenizer1.convert_ids_to_tokens(tokenizer1.encode(input_ids)) results = model1.generate_batch([input_tokens], include_prompt_in_result=False, max_length=700, sampling_temperature=0.6, sampling_topp=0.9, end_token=terminators) output = tokenizer1.decode(results[0].sequences_ids[0]) print(output) ``` ### 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).