Llama3-8B is an AI model published by Facebook AI Research Lab, released on 2024-04-18, for Foundation model, with 8B parameters, and 8K context length, requiring about 16GB storage, with a 35.36 score on MMLU Pro.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Llama3-8B currently shows benchmark results led by MMLU Pro (160 / 176, score 35.36). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Publisher
Model Overview
Llama3-8B is an AI model published by Facebook AI Research Lab, released on 2024-04-18, for Foundation model, with 8B parameters, and 8K context length, requiring about 16GB storage, with a 35.36 score on MMLU Pro.
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