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| license: other |
| license_name: deepseek |
| license_link: LICENSE |
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| --- |
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| [](https://hf.co/QuantFactory) |
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| # QuantFactory/deepseek-coder-7b-instruct-v1.5-GGUF |
| This is quantized version of [deepseek-ai/deepseek-coder-7b-instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5) created using llama.cpp |
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| # Original Model Card |
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| <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> |
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| ### 1. Introduction of Deepseek-Coder-7B-Instruct v1.5 |
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| 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. |
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| - **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/) |
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| ### 2. Evaluation Results |
| <img width="1000px" alt="DeepSeek Coder" src="https://cdn-uploads.huggingface.co/production/uploads/6538815d1bdb3c40db94fbfa/xOtCTW5xdoLCKY4FR6tri.png"> |
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| ### 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-7b-instruct-v1.5", trust_remote_code=True) |
| model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5", trust_remote_code=True).cuda() |
| 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) |
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| 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)) |
| ``` |
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| ### 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. |
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| See the [LICENSE-MODEL](https://github.com/deepseek-ai/deepseek-coder/blob/main/LICENSE-MODEL) for more details. |
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| ### 5. Contact |
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| If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com). |
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