Llama3-70B-Instruct

Name: Llama3-70B-Instruct
Author: Facebook AI Research Lab

Chat modelLlama3

Llama3-70B-Instruct

Release date: 2024-04-18Updated: 2024-04-19Views: 506

Live demoGitHub Hugging Face Compare

Parameters

70B

Context length

Multilingual

No data

Reasoning ability

No data

Llama3-70B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-04-18, for Chat model, with 70B parameters, and 8K context length, requiring about 140GB storage, with a 56.20 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

Llama3-70B-Instruct

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

8K tokens

Max output length

No data

Model type

Chat model

Modality (in / out)

No data

Release date

2024-04-18

Model file size

140GB

MoE architecture

Total params / Active params

70B / Not applicable

Knowledge cutoff

No data

Llama3-70B-Instruct

Open source & experience

Code license

Weights license

- Commercial use permitted

GitHub repo

github.com/meta-llama/llama3

Hugging Face

huggingface.co/meta-llama/Meta-Llama-3-70B-Inst…

Live demo

N/A

Llama3-70B-Instruct

Official resources

Paper

DataLearnerAI blog

Llama3-70B-Instruct

API details

API speed

No data

No public API pricing yet.

Llama3-70B-Instruct

Benchmark Results

Llama3-70B-Instruct currently shows benchmark results led by MMLU Pro (131 / 176, score 56.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.