LLaMA 7B

Name: Large Language Model Meta AI - 7B
Author: Facebook AI Research Lab

Foundation modelLLaMA

Large Language Model Meta AI - 7B

Release date: 2023-02-24Updated: 2023-08-15Views: 859

Live demoGitHubHugging FaceCompare

Parameters

Context length

Multilingual

No data

Reasoning ability

No data

Large Language Model Meta AI - 7B is an AI model published by Facebook AI Research Lab, released on 2023-02-24, for Foundation model, with 7B parameters, and 4K context length, requiring about 13.5GB storage, with a 35.10 score on MMLU.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

LLaMA 7B

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

4K tokens

Max output length

No data

Model type

Foundation model

Modality (in / out)

No data

Release date

2023-02-24

Model file size

13.5GB

MoE architecture

Total params / Active params

7B / Not applicable

Knowledge cutoff

No data

LLaMA 7B

Open source & experience

Code license

Apache 2.0

Weights license

Open source, non-commercial

GitHub repo

github.com/facebookresearch/llama

Hugging Face

N/A

Live demo

N/A

LLaMA 7B

Official resources

Paper

DataLearnerAI blog

N/A

LLaMA 7B

API details

API speed

No data

No public API pricing yet.

LLaMA 7B

Benchmark Results

LLaMA 7B currently shows benchmark results led by C-Eval (43 / 48, score 27.10), GSM8K (64 / 70, score 11), MMLU (120 / 124, score 35.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.