CodeLLaMA-7B
CodeLLaMA-7B is an AI model published by Facebook AI Research Lab, released on 2023-08-24, for Coding model, with 7B parameters, and 100K context length, requiring about 14GB storage, with a 85.90 score on HumanEval 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
CodeLLaMA-7B currently shows benchmark results led by MBPP pass@10 (8 / 13, score 66.70), HumanEval pass@10 (12 / 18, score 59.60), MBPP pass@100 (9 / 13, score 82.50). 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
CodeLLaMA-7B is an AI model published by Facebook AI Research Lab, released on 2023-08-24, for Coding model, with 7B parameters, and 100K context length, requiring about 14GB storage, with a 85.90 score on HumanEval pass@100.
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