Qwen2.5 7 B Instruct Uncensored G G U F

Introduction
QWEN2.5-7B-INSTRUCT-UNCENSORED-GGUF is a model hosted on Hugging Face, designed to provide uncensored conversational AI capabilities in both Chinese and English. The model is based on Orion-zhen's Qwen2.5-7B-Instruct-Uncensored and utilizes the GGUF quantization.

Architecture
The model operates within the Transformers and GGUF libraries, supporting a multilingual setup with an uncensored conversational focus. It is engineered to handle a variety of datasets, including those with toxic content, enabling it to manage a wide range of conversational inputs and outputs.

Training
The model utilizes several datasets for training, such as ToxicQAFinal and kalo-opus-instruct-22k-no-refusal, among others. These datasets help in enhancing the model's ability to process and respond to toxic and non-refusal content.

Guide: Running Locally

• Ensure you have a compatible environment with the necessary libraries installed, such as Transformers.
• Download the desired quantized GGUF file from the provided links.
• Refer to TheBloke's READMEs for guidance on using GGUF files and concatenating multi-part files.
• For optimal performance and faster processing, consider using cloud GPUs offered by providers like AWS or Google Cloud.

License
This model is distributed under the GNU General Public License v3.0 (GPL-3.0), which dictates how the model can be used, modified, and shared.