Qwen3.8-27B-Uncensored-GGUF: 27B Local LLM Without Safety Filters, Apache-2.0

A text generation model based on the Qwen3.8-27B architecture. Distributed as an 'Uncensored' version without the safety filters or restrictions of the original model, it generates free-form responses on a wide range of topics. Licensed under Apache-2.0, it allows for broad usage, including commercial purposes.

The model is provided in GGUF format, compatible with major local inference frameworks such as llama.cpp, vLLM, and Ollama. It includes various quantization levels from IQ2_M to Q8_0, allowing memory usage to be adjusted according to hardware specifications. It is particularly specialized for improving inference speed by supporting MTP (Multi-Token Prediction) and speculative decoding.

Unlike typical conversational LLMs, refusals to answer specific topics or the insertion of warning messages are minimized. Developers can control the desired output format directly through prompt engineering, and tool calling and function calling capabilities are included in the template, making it suitable for building agent-based applications.

Suitable for developers who need to run high-performance LLMs while reducing cloud API dependencies and maintaining data privacy. You can launch an OpenAI-compatible API server on a local machine for easy integration into existing codebases, and it supports two languages: English and Chinese.