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M6

M6

Foundation model

Multi-Modality to Multi-Modality Multitask Mega-transformer

Release date: 2021-03-01Updated: 2023-04-05 15:47:03.831605
Live demoGitHubHugging FaceCompare
Parameters
100B
Context length
2K
Chinese support
Not supported
Reasoning ability

Multi-Modality to Multi-Modality Multitask Mega-transformer is an AI model published by 腾讯AI实验室, released on 2021-03-01, for Foundation model, with 100B parameters, and 2K context length.

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

M6

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2021-03-01
Model file size
No data
MoE architecture
No
Total params / Active params
100B / N/A
Knowledge cutoff
No data
M6

Open source & experience

Code license
No data
Weights license
No data
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
M6

Official resources

Paper
M6: A Chinese Multimodal Pretrainer
DataLearnerAI blog
No blog post yet
M6

API details

API speed
No data
No public API pricing yet.
M6

Benchmark Results

No benchmark data to show.

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M6

Publisher

腾讯AI实验室
View publisher details
Multi-Modality to Multi-Modality Multitask Mega-transformer

Model Overview

Multi-Modality to Multi-Modality Multitask Mega-transformer is an AI model published by 腾讯AI实验室, released on 2021-03-01, for Foundation model, with 100B parameters, and 2K context length.

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