DataLearner logo
EM

Emu

Multimodal model

Emu

Release date: 2023-09-27Updated: 2023-12-10 21:31:19.285686
Live demoGitHubHugging FaceCompare
Parameters
2.8B
Context length
2K
Chinese support
Not supported
Reasoning ability

Emu is an AI model published by Facebook AI Research Lab, released on 2023-09-27, for Multimodal model, with 2.8B parameters, and 2K context length, requiring about 6GB storage.

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

Emu

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Multimodal model
Modality (in / out)
No data
Release date
2023-09-27
Model file size
6GB
MoE architecture
No
Total params / Active params
2.8B / N/A
Knowledge cutoff
No data
Emu

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
Emu

Official resources

Paper
DataLearnerAI blog
No blog post yet
Emu

API details

API speed
No data
No public API pricing yet.
Emu

Benchmark Results

No benchmark data to show.

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Emu

Publisher

Facebook AI Research Lab
Facebook AI Research Lab
View publisher details
Emu

Model Overview

Emu is an AI model published by Facebook AI Research Lab, released on 2023-09-27, for Multimodal model, with 2.8B parameters, and 2K context length, requiring about 6GB storage.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code