For optimal performance with DeepSeek Coder, the RAM requirements vary depending on the specific model version you are using. Here are the key points regarding RAM and other system specifications:
1. Minimum RAM: The minimum requirement to run DeepSeek Coder is generally around 16 GB of RAM. However, this may result in slower performance, especially with larger models[4][5].
2. Recommended RAM: For better performance, it is advised to have at least 64 GB of RAM. This amount allows for smoother operation and quicker processing times, particularly when working with more complex models or larger datasets[3][5].
3. Model-Specific Requirements:
- For smaller versions of DeepSeek, such as the DeepSeek-R1, a minimum of 20 GB is suggested for local runs, but having more RAM (around 80 GB or more) will significantly enhance throughput and efficiency[3].
- The DeepSeek Coder V2 model may require substantial GPU resources alongside adequate RAM; for instance, using 8 GPUs each with 80 GB of VRAM is recommended for optimal performance in certain configurations[1].
4. CPU Considerations: Alongside RAM, a modern multi-core CPU (preferably quad-core or higher) is essential for handling AI tasks effectively. CPUs with higher clock speeds and support for advanced instruction sets (like AVX) can further improve performance during model inference[5][6].
In summary, while you can run DeepSeek Coder with as little as 16 GB of RAM, aiming for 64 GB or more will provide a significantly improved experience, especially when dealing with larger models or data-intensive tasks.
Citations:
[1] https://stackoverflow.com/questions/78697403/system-requirements-for-the-deepseek-coder-v2-instruct/78825493
[2] https://huggingface.co/deepseek-ai/DeepSeek-R1/discussions/19
[3] https://www.reddit.com/r/selfhosted/comments/1ic8zil/yes_you_can_run_deepseekr1_locally_on_your_device/
[4] https://timesofindia.indiatimes.com/technology/tech-tips/how-to-use-deepseek-on-laptop-system-requirements-steps-to-download-the-software-and-more/articleshow/117619851.cms
[5] https://www.hardware-corner.net/llm-database/Deepseek/
[6] https://huggingface.co/TheBloke/deepseek-coder-6.7B-base-GGUF
[7] https://www.reddit.com/r/LocalLLaMA/comments/1hmoplg/deepseek_v3_vram_requirements/
[8] https://daily.dev/blog/deepseek-everything-you-need-to-know-about-this-new-llm-in-one-place