MPT-7B-8K
Foundation modelMPT-7B-8K
Parameters
7B
Context length
8K
Chinese support
Not supported
Reasoning ability
MPT-7B-8K is an AI model published by MosaicML, released on 2023-07-18, for Foundation model, with 7B parameters, and 8K 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-8K
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-07-18
Model file size
13.3GB
MoE architecture
No
Total params / Active params
7B / N/A
Knowledge cutoff
No data
MPT-7B-8K
Open source & experience
Code license
Weights license
Apache 2.0- 免费商用授权
GitHub repo
GitHub link unavailable
Hugging Face
Live demo
No live demo
MPT-7B-8K
Official resources
DataLearnerAI blog
No blog post yet
MPT-7B-8K
API details
API speed
No data
No public API pricing yet.
MPT-7B-8K
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-8K
Publisher
MosaicML
View publisher details MPT-7B-8K
Model Overview
MPT-7B-8K is an AI model published by MosaicML, released on 2023-07-18, for Foundation model, with 7B parameters, and 8K context length, requiring about 13.3GB storage, under the Apache 2.0 license.
Foundation model
MPT
View detailsDataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
