AI BriefingQwen3.8-Flash-Next-Uncensored-GGUF: Uncensored and Quantized Version of Qwen3.8 Flash Next
orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF
About the project
This is an Uncensored and Abliterated variant of the Qwen3.8 Flash Next model. It is designed to bypass or remove safety filtering, enabling it to generate responses that standard conversational models typically refuse. It was specifically created to enhance utility in AI Red-teaming activities and security testing environments.
It is provided in llama.cpp-compatible GGUF format and supports various quantization options from IQ2 to Q6_K. A key feature is the compression of the original 80GB of parameters, making it runnable in local environments. It adopts a Mixture of Experts architecture for efficient inference.
This is a Vision-Language model that accepts both text and images as input. Visual information can be processed via mmproj files, and it supports Function Calling and Reasoning capabilities. It can perform multilingual conversations in Korean, English, Chinese, and other languages.
orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF
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