DeepSeek-v4.1-Flash-1017
This article provides technical documentation and implementation instructions for the DeepSeek-V4.1-Flash-1017 AI model. It covers integration methods using popular libraries like Transformers, vLLM, and SGLang.
Why it matters
As open-source AI models proliferate, standardized deployment guides are essential for developers to integrate advanced language models into local and cloud-based applications.
Like 176 Follow DeepSeek 150k Image-Text-to-Text Transformers Safetensors deepseek_v41 text-generation 8-bit precision fp8 License: mit Model card Files Files and versions xet Community 3 Deploy Copy to bucket new Use this model Instructions to use deepseek-ai/DeepSeek-V4.1-Flash-1017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers How to use deepseek-ai/DeepSeek-V4.1-Flash-1017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="deepseek-ai/DeepSeek-V4.1-Flash-1017") # pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V4.1-Flash-1017", device_map="auto") Notebooks Google Colab Kaggle Local Apps Settings vLLM How to use deepseek-ai/DeepSeek-V4.1-Flash-1017 with vLLM:
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