Large Language Model Meta AI - 2 - 7B
Large Language Model Meta AI - 2 - 7B is an AI model published by Facebook AI Research Lab, released on 2023-07-18, for Foundation model, with 7B parameters, and 4K context length, requiring about 13.5GB storage, with a 65.50 score on MBPP pass@100.
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
LLaMA2 7B currently shows benchmark results led by AGIEval (21 / 28, score 29.30), GSM8K (63 / 70, score 14.60), MMLU (112 / 124, score 45.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
2 evaluationsCoding and Software Engineering
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Model Overview
Large Language Model Meta AI - 2 - 7B is an AI model published by Facebook AI Research Lab, released on 2023-07-18, for Foundation model, with 7B parameters, and 4K context length, requiring about 13.5GB storage, with a 65.50 score on MBPP pass@100.
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