Sailor2 8 B Chat Uncensored

Introduction

Sailor2-8B-Chat-Uncensored is a text generation model developed by BlossomsAI. It is a modified version of the Sailor2-8B-Chat model, designed to be uncensored, leveraging techniques discussed in the alignment forum blog post on managing refusals in large language models.

Architecture

The model is based on the Sailor2-8B-Chat architecture and supports both English and Vietnamese languages. It is integrated within the Hugging Face ecosystem, utilizing the Transformers library and is compatible with the Safetensors framework. Quantized versions, such as GGUF, are available for optimized performance.

Training

The model was trained using state-of-the-art methodologies and insights into handling refusal mechanisms in language models, as detailed in the referenced alignment forum post. The training process aimed to enhance conversational capabilities while removing content restrictions inherent in other versions.

Guide: Running Locally

To run Sailor2-8B-Chat-Uncensored locally:

1. Set Up Environment:

   • Ensure Python and pip are installed.
   • Install the Hugging Face Transformers library:

     pip install transformers
     

   • Optional: Install Safetensors for optimized model loading:

     pip install safetensors
     

2. Download Model:

   • Clone the model from Hugging Face:

     git clone https://huggingface.co/BlossomsAI/Sailor2-8B-Chat-Uncensored
     

3. Run Model:

   • Load and use the model in your Python script:

     from transformers import pipeline
     
     model = pipeline("text-generation", model="BlossomsAI/Sailor2-8B-Chat-Uncensored")
     output = model("Hello, how can I help you?")
     print(output)
     

4. Suggest Cloud GPUs:

   • For optimal performance, consider using cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure.

License

The Sailor2-8B-Chat-Uncensored model is distributed under the MIT license, allowing wide usage and modification with minimal restrictions.