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Large Language Models
- The Llama 3.1 405B, Llama 3.1 70B, Llama 3.1 8B models are three sizes of the latest pre-trained and instruction-tuned generative text models developed by Meta. These models outperform other open-source LLMs and are optimized for dialogue use cases. The Llama 3.1 8B model offers strong performance on a smaller, less resource-intensive model, while the Llama 3.1 70B model requires substantially more resources to achieve its performance heights. The latest addition, the Llama 3.1 405B model, is an exponential step up over the previous two models. Combining a record number of parameters, the Llama 3.1 405B model is the most computationally intensive and advanced AI model on the market.
- The Zephyr 7B Beta model is a language model developed by Hugging Face based on a fine-tuned version of the Mistral 7B v.01 model. This model was trained on publicly available datasets and adjusted to be less filtered when producing responses.
- The Gemma 7B model is a lightweight, state-of-the-art open language model developed by Google that is designed for text generation tasks. One of the features of the Gemma 7B model is its small size, which allows it to run efficiently in containerized environments with less demand for GPU resources. This model also benefits from Google’s focus on quality, safety, and ethical data preprocessing.
- The Mistral 8x22B model and the Mistral 7B model focus on being the most efficient and performance-centric models when compared to their contemporaries and are easy to fine-tune for specific tasks. While the Mistral 7B model uses grouped-query attention (GQA) to increase inference speed, the Mistral 8x22B model utilizes sparse Mixture of Experts (MoE) layers to allow the model to significantly scale up or improve the data size without greatly impacting resources.