RecurrentGemma 2B Instruct
by Google · open-source · Last verified 2026-03-26T17:25:13.575Z
An experimental open recurrent language model from Google, showcasing efficiency and performance with a novel recurrent architecture. It's designed to be memory-efficient and capable of handling long sequences effectively.
https://huggingface.co/google/recurrentgemma-2b-it ↗D
D—Poor
Adoption: FQuality: A+Freshness: A+Citations: FEngagement: F
Specifications
- Pricing
- open-source
- Capabilities
- Text generation, summarization, question answering, processing long inputs, memory-efficient inference
- Integrations
- Use Cases
- Edge devices, streaming data analysis, conversational AI with long history, research in novel architectures
- API Available
- Yes
- Tags
- recurrent-neural-network, efficient, experimental, long-context, small-language-model
- Added
- 2026-03-26T17:25:13.575Z
- Completeness
- 0%
Index Score
38Adoption
0
Quality
95
Freshness
100
Citations
0
Engagement
0
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