RE
RecurrentGemma-2B-IT
Foundation modelRecurrentGemma-2B-IT
Release date: 2024-04-09Updated: 2024-04-09Views: 647
Parameters
2.7B
Context length
8K
Multilingual
No data
Reasoning ability
No data
RecurrentGemma-2B-IT is an AI model published by Google Research, released on 2024-04-09, for Foundation model, with 2.7B parameters, and 8K context length, requiring about 5.37GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
RecurrentGemma-2B-IT
Model basics
Reasoning traces
No data
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
2024-04-09
Model file size
5.37GB
MoE architecture
No
Total params / Active params
2.7B / Not applicable
Knowledge cutoff
No data
RecurrentGemma-2B-IT
Open source & experience
Code license
Weights license
Gemma Terms of Use- Commercial use permitted
GitHub repo
Hugging Face
Live demo
N/A
RecurrentGemma-2B-IT
Official resources
Paper
DataLearnerAI blog
N/A
RecurrentGemma-2B-IT
API details
API speed
No data
No public API pricing yet.
RecurrentGemma-2B-IT
Publisher
Google Research
View publisher details RecurrentGemma-2B-IT
Model Overview
RecurrentGemma-2B-IT is an AI model published by Google Research, released on 2024-04-09, for Foundation model, with 2.7B parameters, and 8K context length, requiring about 5.37GB storage.
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