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OPT

Foundation model

Open Pre-trained Transformer

Release date: 2022-05-02Updated: 2023-08-16 22:07:08.522988
Live demoGitHubHugging FaceCompare
Parameters
175B
Context length
2K
Chinese support
Not supported
Reasoning ability

Open Pre-trained Transformer is an AI model published by Facebook AI研究实验室, released on 2022-05-02, for Foundation model, with 175B parameters, and 2K context length, requiring about 85GB storage, under the 开源不可商用 license.

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

OPT

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
2022-05-02
Model file size
85GB
MoE architecture
No
Total params / Active params
175B / N/A
Knowledge cutoff
No data
OPT

Open source & experience

Code license
MIT License
Weights license
开源不可商用- Non-commercial only
GitHub repo
https://github.com/facebookresearch/metaseq/tree/main/projects/OPT
Hugging Face
https://huggingface.co/docs/transformers/model_doc/opt
Live demo
No live demo
OPT

Official resources

Paper
OPT: Open Pre-trained Transformer Language Models
DataLearnerAI blog
No blog post yet
OPT

API details

API speed
No data
No public API pricing yet.
OPT

Benchmark Results

No benchmark data to show.

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OPT

Publisher

Facebook AI研究实验室
View publisher details
Open Pre-trained Transformer

Model Overview

Open Pre-trained Transformer is an AI model published by Facebook AI研究实验室, released on 2022-05-02, for Foundation model, with 175B parameters, and 2K context length, requiring about 85GB storage, under the 开源不可商用 license.

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