Llama-2-13b-chat
Maintainer: meta-llama
265
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| Property | Value |
|---|---|
| Model Link | View on HuggingFace |
| API Spec | View on HuggingFace |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
Llama-2-13b-chat is a 13 billion parameter large language model (LLM) developed and released by Meta. It is part of the Llama 2 family of models, which range in size from 7 billion to 70 billion parameters. The Llama-2-13b-chat model has been fine-tuned for dialogue use cases, outperforming open-source chat models on many benchmarks. In human evaluations, it has demonstrated capabilities on par with closed-source models like ChatGPT and PaLM.
Model inputs and outputs
Llama-2-13b-chat is an autoregressive language model that takes in text as input and generates text as output. The model was trained on a diverse dataset of over 2 trillion tokens from publicly available online sources.
Inputs
- Text prompts
Outputs
- Generated text continuations
Capabilities
Llama-2-13b-chat has shown strong performance on a variety of benchmarks testing capabilities like commonsense reasoning, world knowledge, reading comprehension, and mathematical problem solving. The fine-tuned chat model also demonstrates high levels of truthfulness and low toxicity in evaluations.
What can I use it for?
The Llama-2-13b-chat model is intended for commercial and research use in English. The tuned dialogue model can be used to power assistant-like chat applications, while the pretrained versions can be adapted for a range of natural language generation tasks. However, as with any large language model, developers should carefully test and tune the model for their specific use cases to ensure safety and alignment with their needs.
Things to try
Prompting the Llama-2-13b-chat model with open-ended questions or instructions can yield diverse and creative responses. Developers may also find success fine-tuning the model further on domain-specific data to specialize its capabilities for their application.
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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