Meta-Llama-3-8B
Maintainer: NousResearch
76
🗣️
| 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
The Meta-Llama-3-8B is part of the Meta Llama 3 family of large language models (LLMs) developed and released by Meta. This collection of pretrained and instruction tuned generative text models comes in 8B and 70B parameter sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many available open source chat models on common industry benchmarks. Meta took great care to optimize helpfulness and safety when developing these models.
The Meta-Llama-3-70B and Meta-Llama-3-8B-Instruct are other models in the Llama 3 family. The 70B parameter model provides higher performance than the 8B, while the 8B Instruct model is optimized for assistant-like chat.
Model inputs and outputs
Inputs
- The
Meta-Llama-3-8Bmodel takes text input only.
Outputs
- The model generates text and code output.
Capabilities
The Meta-Llama-3-8B demonstrates strong performance on a variety of natural language processing benchmarks, including general knowledge, reading comprehension, and task-oriented dialogue. It excels at following instructions and engaging in open-ended conversations.
What can I use it for?
The Meta-Llama-3-8B is intended for commercial and research use in English. The instruction tuned version is well-suited for building assistant-like chat applications, while the pretrained model can be adapted for a range of natural language generation tasks. Developers can leverage the Llama Guard and other Purple Llama tools to enhance the safety and reliability of applications using this model.
Things to try
The clear strength of the Meta-Llama-3-8B model is its ability to engage in open-ended, task-oriented dialogue. Developers can leverage this by building conversational interfaces that leverage the model's instruction-following capabilities to complete a wide variety of tasks. Additionally, the model's strong grounding in general knowledge makes it well-suited for building information lookup tools and knowledge bases.
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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