Derivative 8 B Model_ Stock

DreadPoor

Introduction

The Derivative-8B-Model_Stock by DreadPoor is a sophisticated language model designed for text generation. It leverages a combination of existing models and merges them using specialized techniques to enhance performance and capabilities.

Architecture

The Derivative-8B-Model_Stock is a result of merging several pre-trained language models using the mergekit framework. The primary architecture is based on the Model Stock merge method, with FuseAI/FuseChat-Llama-3.1-8B-SFT serving as the base model. The merge integrates the following models:

  • DreadPoor/BaeZel_1.1-8B-Model_Stock
  • DreadPoor/Aspire-8B-model_stock
  • DreadPoor/ONeil-model_stock-8B

Training

The model was created by merging pre-existing models. The merging process involved specific configurations, including the use of bfloat16 data type, int8_mask, and the model_stock merge method. The setup did not employ normalization but included filter-wise adjustments and automatic chat template generation.

Guide: Running Locally

To run the Derivative-8B-Model_Stock locally, follow these steps:

  1. Installation: Ensure you have Python and the transformers library installed.
  2. Download Model: Retrieve the model files from the Hugging Face repository.
  3. Load Model: Use the transformers library to load the model for inference.
  4. Execution: Implement the model in your application for text generation tasks.

For optimal performance, it is recommended to use cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure, which provide the necessary computational power.

License

The Derivative-8B-Model_Stock is released under the Apache-2.0 license, permitting use, modification, and distribution under its terms.

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