Llama 2: A Versatile AI Model for Natural Language Processing
Enhanced Model Sizes and Context Length
Google's latest advancement in AI, the Llama 2 model, boasts a range of parameter sizes—7B, 13B, and 70B—for customizable performance. Each model is trained on a massive dataset of 2 trillion tokens, providing a comprehensive understanding of language patterns.
Extended Context Window Length
Llama 2 has significantly improved its context window length, reaching an impressive 32K. This allows the model to consider a wider range of preceding text, resulting in more accurate and contextually relevant responses. Previous versions of Llama were limited to shorter context lengths, potentially leading to less optimal outputs.
Pre-trained and Fine-tuned Variations
In addition to the aforementioned parameter sizes, Llama 2 also provides both pre-trained and fine-tuned variations. Pre-trained models are general-purpose and can be used for a wide range of NLP tasks. Fine-tuned models, on the other hand, have been specifically optimized for certain tasks, such as question answering or language translation.
Supported Context Window Length
The supported context window length varies depending on the specific Llama 2 model being used. Kindly wrap your user input with INST INST tags for optimal processing. For instance, if you are using the 13B model, the supported context window length is 64K.
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