Mistral R P Noromaid N S F W Mistral 7 B G G U F

Introduction

The MistralRP-Noromaid-NSFW-Mistral-7B-GGUF model is a merged language model designed for text generation tasks. It is created using the mergekit tool and accommodates a specific prompt template named ALPACA for task instructions.

Architecture

The model leverages a blend of two pre-trained language models:

• Undi95/Mistral-RP-0.1-7B
• MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1

It uses the SLERP merge method to combine specific layers from each model to enhance its overall capabilities. The configuration specifies the use of layers 0 to 32 from each source model.

Training

The model was not trained from scratch but was instead created by merging pre-existing models. The merge configuration utilizes a specific set of parameters and layer ranges to achieve the desired performance characteristics. The data type used is bfloat16.

Guide: Running Locally

To run the model locally, follow these steps:

1. Install the Required Libraries: Ensure you have Python and the Hugging Face Transformers library installed.

   pip install transformers
   

2. Download the Model: Obtain the model files from the Hugging Face Model Hub.

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

   from transformers import AutoModelForCausalLM, AutoTokenizer
   model = AutoModelForCausalLM.from_pretrained("Ttimofeyka/MistralRP-Noromaid-NSFW-Mistral-7B-GGUF")
   tokenizer = AutoTokenizer.from_pretrained("Ttimofeyka/MistralRP-Noromaid-NSFW-Mistral-7B-GGUF")
   

4. Generate Text: Use the model to generate text based on a given prompt.

   input_text = "Your prompt here"
   input_ids = tokenizer(input_text, return_tensors='pt').input_ids
   output = model.generate(input_ids)
   print(tokenizer.decode(output[0]))
   

For optimal performance, especially with large models, consider using cloud GPU services such as AWS, Google Cloud, or Azure.

License

The model is distributed under a license that allows for open use, but specific restrictions or permissions may apply based on the included models' licenses. Always review the terms on the model's Hugging Face page to ensure compliance.