DoReMi
Foundation modelDomain Reweighting with Minimax Optimization
Parameters
8B
Context length
2K
Chinese support
Not supported
Reasoning ability
Domain Reweighting with Minimax Optimization is an AI model published by Google Research, released on 2023-05-17, for Foundation model, with 8B 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
DoReMi
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
2023-05-17
Model file size
No data
MoE architecture
No
Total params / Active params
8B / N/A
Knowledge cutoff
No data
DoReMi
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
DoReMi
Official resources
DataLearnerAI blog
No blog post yet
DoReMi
API details
API speed
No data
No public API pricing yet.
DoReMi
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
DoReMi
Publisher
Google Research
View publisher details Domain Reweighting with Minimax Optimization
Model Overview
Domain Reweighting with Minimax Optimization is an AI model published by Google Research, released on 2023-05-17, for Foundation model, with 8B parameters, and 2K context length.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
