Llama-2-13b-hf

Maintainer: meta-llama

Total Score

536

Last updated 4/28/2024

🚀

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

Llama-2-13b-hf is a 13 billion parameter generative language model from Meta. It is part of the Llama 2 family, which includes models ranging from 7 billion to 70 billion parameters. The Llama 2 models are designed for a variety of natural language generation tasks, with the fine-tuned "Llama-2-Chat" versions optimized specifically for dialogue use cases. According to the maintainer, the Llama-2-Chat models outperform open-source chat models on most benchmarks and are on par with closed-source models like ChatGPT and PaLM in terms of helpfulness and safety.

Model inputs and outputs

Inputs

  • Text: The Llama-2-13b-hf model takes text as input.

Outputs

  • Text: The model generates text as output.

Capabilities

The Llama 2 models demonstrate strong performance across a range of academic benchmarks, including commonsense reasoning, world knowledge, reading comprehension, and mathematics. The 70 billion parameter Llama 2 model in particular achieves state-of-the-art results, outperforming the smaller Llama 1 models. The fine-tuned Llama-2-Chat models also show strong results in terms of truthfulness and low toxicity.

What can I use it for?

The Llama-2-13b-hf model is intended for commercial and research use in English. The pretrained version can be adapted for a variety of natural language generation tasks, while the fine-tuned Llama-2-Chat variants are designed for assistant-like dialogue. To get the best performance for chat use cases, specific formatting with tags and tokens is recommended, as outlined in the Meta Llama documentation.

Things to try

Researchers and developers can explore using the Llama-2-13b-hf model for a range of language generation tasks, from creative writing to question answering. The larger 70 billion parameter version may be particularly useful for demanding applications that require strong language understanding and generation capabilities. Those interested in chatbot-style applications should look into the fine-tuned Llama-2-Chat variants, following the formatting guidance provided.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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