Llama-2-7b-chat-hf
Maintainer: NousResearch
146
🏋️
| 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-2-7b-chat-hf is a 7B parameter large language model (LLM) developed by Meta. It is part of the Llama 2 family of models, which range in size from 7B to 70B parameters. The Llama 2 models are pretrained on a diverse corpus of publicly available data and then fine-tuned for dialogue use cases, making them optimized for assistant-like chat interactions. Compared to open-source chat models, the Llama-2-Chat models outperform on most benchmarks and are on par with popular closed-source models like ChatGPT and PaLM in human evaluations for helpfulness and safety.
Model inputs and outputs
Inputs
- Text: The
Llama-2-7b-chat-hfmodel takes natural language text as input.
Outputs
- Text: The model generates natural language text as output.
Capabilities
The Llama-2-7b-chat-hf model demonstrates strong performance on a variety of natural language tasks, including commonsense reasoning, world knowledge, reading comprehension, and math problem-solving. It also exhibits high levels of truthfulness and low toxicity in generation, making it suitable for use in assistant-like applications.
What can I use it for?
The Llama-2-7b-chat-hf model is intended for commercial and research use in English. The fine-tuned Llama-2-Chat versions can be used to build interactive chatbots and virtual assistants that engage in helpful and informative dialogue. The pretrained Llama 2 models can also be adapted for a variety of natural language generation tasks, such as summarization, translation, and content creation.
Things to try
Developers interested in using the Llama-2-7b-chat-hf model should carefully review the responsible use guide provided by Meta, as large language models can carry risks and should be thoroughly tested and tuned for specific applications. Additionally, users should follow the formatting guidelines for the chat versions, which include using INST and <<SYS>> tags, BOS and EOS tokens, and proper whitespacing and linebreaks.
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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