Llama3.1-8B-Instruct
Llama3.1-8B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-07-23, for Chat model, with 8B parameters, and 128K context length, requiring about 16GB storage, with a 82.40 score on GSM8K.
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
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.100/ 1M | $0.100/ 1M |
Benchmark Results
Llama3.1-8B-Instruct currently shows benchmark results led by GSM8K (16 / 26, score 82.40), MBPP (18 / 28, score 69.40), HumanEval (28 / 39, score 66.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
3 evaluationsCoding and Software Engineer
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Model Overview
Llama3.1-8B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-07-23, for Chat model, with 8B parameters, and 128K context length, requiring about 16GB storage, with a 82.40 score on GSM8K.
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