Gemma The Writer N Restless Quill 10 B Uncensored

Introduction

The GEMMA-THE-WRITER-N-RESTLESS-QUILL-10B-UNCENSORED model is designed for advanced text generation tasks. Originating from DavidAU, this model offers full precision source code in "safe tensors" format, which supports various quantization formats such as GGUF, GPTQ, EXL2, AWQ, and HQQ. The model is particularly focused on optimizing settings for enhanced performance across multiple AI/LLM applications.

Architecture

This model falls under "Class 2" and is designed to enhance operation through optimal settings, though adjustments remain optional. The architecture supports modifications to improve performance in diverse use cases, including chat and roleplay, and is adaptable to scenarios beyond its initial design.

Training

Detailed training and optimization guidelines are provided in linked documents. These documents outline parameter settings, sampler configurations, and advanced sampler setups to optimize the model's performance, even in use cases it was not originally designed for.

Guide: Running Locally

1. Setup: Clone the repository and ensure you have Python installed along with the Hugging Face Transformers library.

2. Installation: Use the following command to install necessary packages:

   pip install transformers safetensors
   

3. Load the Model: Use the Transformers library to load the model with:

   from transformers import AutoModelForCausalLM, AutoTokenizer
   
   tokenizer = AutoTokenizer.from_pretrained("DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored")
   model = AutoModelForCausalLM.from_pretrained("DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored")
   

4. Inference: Generate text using the model with appropriate inputs and settings for your use case.

5. Cloud GPUs: For optimal performance, it is recommended to use cloud services providing GPUs, such as AWS EC2, Google Cloud Platform, or Azure, to handle the computational requirements efficiently.

License

For licensing details, refer to the original model repository on Hugging Face. The specific terms and conditions for use and distribution are outlined there.