MP

MPT-7B-Base

Foundation model

MosaicML Pretrained Transformer - 7B Base

Release date: 2023-05-05Updated: 2023-06-23 20:19:43.390152
Parameters
6.7B
Context length
2K
Chinese support
Not supported
Reasoning ability

MosaicML Pretrained Transformer - 7B Base is an AI model published by MosaicML, released on 2023-05-05, for Foundation model, with 6.7B parameters, and 2K context length, requiring about 13.3GB storage, under the Apache 2.0 license.

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

MPT-7B-Base

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
2023-05-05
Model file size
13.3GB
MoE architecture
No
Total params / Active params
6.7B / N/A
Knowledge cutoff
No data
MPT-7B-Base

Open source & experience

Code license
Weights license
Apache 2.0- 免费商用授权
Live demo
No live demo
MPT-7B-Base

Official resources

MPT-7B-Base

API details

API speed
No data
No public API pricing yet.
MPT-7B-Base

Benchmark Results

No benchmark data to show.

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MPT-7B-Base

Publisher

MosaicML Pretrained Transformer - 7B Base

Model Overview

MosaicML Pretrained Transformer - 7B Base is an AI model published by MosaicML, released on 2023-05-05, for Foundation model, with 6.7B parameters, and 2K context length, requiring about 13.3GB storage, under the Apache 2.0 license.

Foundation model

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