DataLearner logo
MP

MPT-7B-Chat

Chat model

MosaicML Pretrained Transformer - 7B Chat

Release date: 2023-05-05Updated: 2023-06-24 09:00:00.571168
Live demoGitHubHugging FaceCompare
Parameters
6.7B
Context length
2K
Chinese support
Not supported
Reasoning ability

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

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

MPT-7B-Chat

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Chat 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-Chat

Open source & experience

Code license
Apache 2.0
Weights license
- Non-commercial only
GitHub repo
https://github.com/mosaicml/llm-foundry
Hugging Face
https://huggingface.co/mosaicml/mpt-7b-chat
Live demo
No live demo
MPT-7B-Chat

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
MPT-7B-Chat

API details

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

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

MPT-7B-Chat

Publisher

MosaicML Pretrained Transformer - 7B Chat

Model Overview

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

Foundation model

DataLearner on WeChat

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

DataLearner WeChat QR code