DeepSeek v4.1 Flash Uncensored
The DeepSeek v4.1 Flash Uncensored model has been released, providing an open-weights, multimodal transformer for text generation. The article provides technical instructions for integrating the model using libraries like Transformers, vLLM, and SGLang.
Why it matters
The release of 'uncensored' AI models is a significant development in the debate over AI safety, alignment, and open-source accessibility.
Like 9 Image-Text-to-Text Transformers Safetensors deepseek_v41 text-generation deepseek deepseek-v4.1 abliterated uncensored crack multimodal Mixture of Experts fp8 8-bit precision License: mit Model card Files Files and versions xet Community Deploy Copy to bucket new Use this model Instructions to use dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers How to use dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8") # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8", device_map="auto") Notebooks Google Colab Kaggle Local Apps Settings vLLM How to use dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8 with vLLM:
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