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Open weightsGoogle DeepMind/10 trustVerified
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Gemma 2 2B

2.6B on-device model distilled from Gemma 2, beating GPT-3.5 on benchmarks.

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About

Gemma 2 2B is the smallest member of Google DeepMind's Gemma 2 family, announced on July 31, 2024. It is a 2.6-billion-parameter text-to-text, decoder-only model distilled from the larger Gemma 2 models, designed for CPU usage and on-device applications.

Despite its compact size, Google reported best-in-class performance for its weight class, with an LMSYS Chatbot Arena Elo score of 1126 that edges out GPT-3.5 and Mixtral 8x7B Instruct. It integrates with Keras, JAX, Hugging Face, Vertex AI, and Nvidia NIM, and is distributed as open weights under the Gemma Terms of Use.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

July 31, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

on-device-aiedge-inferencechatbotstext-generation

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 123; Trending score 88/100 from researcher assessment.

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