DeepSeek-V uses the identical base model because the previous DeepSeek-V3, with only enhancements in post-training strategies. For private deployment, you only require to update the checkpoint and tokenizer_config. json (tool phone calls related changes). The model has around 660B parameters, and even the open-source version offers a 128K context length (while the internet, app, plus …