Llama-2-70b-hf

Maintainer: meta-llama

Total Score

800

Last updated 4/28/2024

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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-2-70b-hf is a 70 billion parameter generative language model developed and released by Meta as part of their Llama 2 family of large language models. This model is a pretrained version converted for the Hugging Face Transformers format. The Llama 2 collection includes models ranging from 7 billion to 70 billion parameters, as well as fine-tuned versions optimized for dialogue use cases. The Llama-2-70b-chat-hf model is the fine-tuned version of this 70B model, optimized for conversational abilities.

Model inputs and outputs

Inputs

  • Llama-2-70b-hf takes text input only.

Outputs

  • The model generates text output only.

Capabilities

The Llama-2-70b-hf model is a powerful auto-regressive language model that can be used for a variety of natural language generation tasks. It outperforms many open-source chat models on industry benchmarks and is on par with some popular closed-source models like ChatGPT and PaLM in terms of helpfulness and safety.

What can I use it for?

The Llama-2-70b-hf model is intended for commercial and research use in English. The pretrained version can be adapted for tasks like text generation, summarization, and translation, while the fine-tuned Llama-2-70b-chat-hf model is optimized for assistant-like chat applications.

Things to try

Developers can fine-tune the Llama-2-70b-hf model for their specific use cases, leveraging the model's strong performance on a variety of NLP tasks. The Llama-2-7b-hf and Llama-2-13b-hf models provide smaller-scale alternatives that may be more practical for certain applications.



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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Llama-2-70b-chat-hf

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Llama-2-70b-chat is a large language model developed by Meta that is part of the Llama 2 family of models. It is a 70 billion parameter model that has been fine-tuned for dialogue use cases, optimizing it for helpfulness and safety. The Llama-2-13b-chat-hf and Llama-2-7b-chat-hf are similar models that are smaller in scale but also optimized for chat. According to the maintainer's profile, the Llama 2 models are intended to outperform open-source chat models and be on par with popular closed-source models like ChatGPT and PaLM in terms of helpfulness and safety. Model inputs and outputs Inputs Text**: The Llama-2-70b-chat model takes text as input. Outputs Text**: The model generates text as output. Capabilities The Llama-2-70b-chat model is capable of engaging in natural language conversations and assisting with a variety of tasks, such as answering questions, providing explanations, and generating text. It has been fine-tuned to optimize for helpfulness and safety, making it suitable for use in assistant-like applications. What can I use it for? The Llama-2-70b-chat model can be used for commercial and research purposes in English. The maintainer suggests it is well-suited for assistant-like chat applications, though the pretrained versions can also be adapted for other natural language generation tasks. Developers should carefully review the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide/ before deploying any applications using this model. Things to try Some ideas for things to try with the Llama-2-70b-chat model include: Engaging it in open-ended conversations to test its dialog capabilities Prompting it with a variety of tasks to assess its versatility Evaluating its performance on specific benchmarks or use cases relevant to your needs Exploring ways to further fine-tune or customize the model for your particular application Remember to always review the model's limitations and ensure responsible use, as with any large language model.

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