70 B L3.3 mhnnn x1

Introduction

The model 70B-L3.3-MHNNN-X1 by Sao10K is designed for text generation tasks and utilizes the Llama-3.3 framework. It offers creative output with occasional errors that can be resolved by regenerating the output. The model's configuration and performance are optimized for various text generation types, including novels, text adventures, and roleplay.

Architecture

The model is built using the Axolotl framework and incorporates several advanced features such as Lora adapters, RSLora, linear targeting, and various Liger plugins. The architecture supports a wide range of data types and is optimized for efficient training and evaluation.

Training

Training was conducted over approximately 14 hours on an 8xH100 node. The training process utilized datasets that included eBooks, novels, and various chat templates to enable the model to handle different conversational and text generation tasks. The configuration included a detailed setup for batching, sampling, and optimization, with a focus on achieving a balance between performance and resource usage.

Guide: Running Locally

1. Clone the Repository: Start by cloning the model code from its repository.
2. Set Up Environment: Install necessary libraries such as transformers and safetensors.
3. Prepare Data: Use provided datasets or prepare your datasets following the format in the configuration file.
4. Configure Environment: Modify the configuration file to match your local setup or desired parameters.
5. Run Training: Execute the training script. Ensure your system has sufficient resources, ideally using a cloud GPU for efficiency.
6. Evaluate and Adjust: Post-training, evaluate the model's performance and make any necessary adjustments to the configuration.

Cloud GPUs

For optimal performance, consider using cloud-based GPUs such as NVIDIA A100 or H100, available on platforms like AWS, Google Cloud, or Azure.

License

The model is distributed under the Llama3.3 license, which must be reviewed and adhered to when using the model for any purpose.