RecurrentGemma 2B

Released
2024-04-09
Last refreshed
2026-10-09
Status
Researched 160d ago
DeprecatedOpen weightsCommercial use: restricted

RecurrentGemma 2B is a legacy integration reference; keep it only while you identify a current replacement.

Google DeepMind releases · 53 in the last 12 monthsChangelog →
Specifications
Released
2024-04-09
Context
4K
Parameters
2B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
GemmaRestricted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing

No tracked provider pricing is available yet.

Providers(1)

About

RecurrentGemma 2B, developed by Google, leverages a novel Griffin architecture that integrates linear recurrences with local attention mechanisms to adeptly manage long sequences while minimizing memory usage. It excels in text generation tasks, such as question answering, summarization, and reasoning, by efficiently handling complex prompts and instructions. Available in both pre-trained and instruction-tuned versions, RecurrentGemma enhances usability in interactive applications like chatbots. Its open-source nature fosters transparency, enabling researchers to explore and innovate further. Performance-wise, it stands out with competitive results on benchmarks like HellaSwag and PIQA, marking a notable leap in natural language processing capabilities.

Providers(1)

Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
NVIDIA NIM--
ProvisionedPartial

Available via routers & gateways(1)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

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Migration checks

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