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Llama3-8B

Foundation modelLlama3

Llama3-8B

Release date: 2024-04-18Updated: 2024-04-19Views: 775
Parameters
8B
Context length
8K
Multilingual
No data
Reasoning ability
No data

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

Llama3-8B

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-04-18
Model file size
16GB
MoE architecture
No
Total params / Active params
8B / Not applicable
Knowledge cutoff
No data
Llama3-8B

Open source & experience

Code license
Weights license
- Commercial use permitted
Live demo
N/A
Llama3-8B

Official resources

Paper
DataLearnerAI blog
Llama3-8B

API details

API speed
No data
No public API pricing yet.
Llama3-8B

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.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
MMLU Pro
unknown
35.36
160 / 176
Llama3-8B

Publisher

Facebook AI Research Lab
Facebook AI Research Lab
View publisher details
Llama3-8B

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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