OpenLLaMA 13B
OpenLLaMA 13B is an AI model published by Berkeley Artificial Intelligence Research, released on 2023-06-15, for Foundation model, with 13B parameters, and 2K context length, requiring about 26GB storage, with a 42.40 score on MMLU.
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
OpenLLaMA 13B currently shows benchmark results led by MMLU (116 / 124, score 42.40), AGIEval (27 / 28, score 24), C-Eval (48 / 48, score 24.70). 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
OpenLLaMA 13B is an AI model published by Berkeley Artificial Intelligence Research, released on 2023-06-15, for Foundation model, with 13B parameters, and 2K context length, requiring about 26GB storage, with a 42.40 score on MMLU.
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