Model Name: Merged LLaMA 3 (8B)
Model Type: Merged Language Model
Description
This is my first large language model, created by merging three individual LLaMA 3 models, each with 8 billion parameters, using a linear method. The resulting model combines the strengths of each individual model, enabling it to generate more accurate and informative text.
Architecture: The model is based on the LLaMA 3 architecture, which is a transformer-based language model designed for efficient and scalable language understanding. The three individual models were trained on a large corpus of text data and then merged using a linear method to create a single, more powerful model.
Parameters: The merged model has a total of 4.65 billion parameters, making it a large and powerful language model capable of handling complex language tasks.
Training: The individual models were trained on a large corpus of text data, and the merged model was fine-tuned on a smaller dataset to adapt to the merged architecture.
Capabilities: The Merged LLaMA 3 (8B) model is capable of generating human-like text, answering questions, and completing tasks such as language translation, text summarization, and dialogue generation.
Limitations: While the model is powerful, it is not perfect and may make mistakes or generate inconsistent text in certain situations. Additionally, the model may not perform well on tasks that require common sense or real-world knowledge.
Intended Use: The Merged LLaMA 3 (8B) model is intended for research and development purposes, such as exploring the capabilities of large language models, developing new language-based applications, and improving the state of the art in natural language processing.
License: The model is licensed under [MIT License].
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