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Google Gemma 4 models now runnable and trainable with Unsloth

By PulseAugur Editorial · [1 sources] ·

Google has released Gemma 4, a new suite of four models including E2B, E4B, 26B-A4B, and 31B. These models are now compatible with Unsloth, a platform that optimizes model training and inference. Unsloth enables users to run smaller Gemma 4 models on as little as 6GB of RAM, making them accessible on devices like phones, while larger models require around 18GB. The update also includes significant improvements to tool calling accuracy and stability, reducing errors and increasing the number of allowed calls. AI

IMPACT Enables running and training of Google's latest Gemma 4 models on consumer hardware, significantly lowering resource requirements.

RANK_REASON This cluster announces the release of new models from Google, a frontier AI lab, with details on their capabilities and integration with optimization software. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Unsloth — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google Gemma 4 models now runnable and trainable with Unsloth

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This cluster announces the release of new models from Google, a frontier AI lab, with details on their capabilities and integration with optimization software. [lever_c_demoted from frontier_releas…
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COVERAGE [1]

  1. Unsloth — Releases TIER_1 English(EN) · shimmyshimmer ·

    Google - Gemma 4 now in Unsloth!

    <p>Google releases Gemma 4 with four new models: E2B, E4B, 26B-A4B, 31B.</p> <ul> <li>You can now run and train the Gemma 4 models in Unsloth. Guide / Blog: <a href="https://unsloth.ai/docs/models/gemma-4" rel="nofollow">https://unsloth.ai/docs/models/gemma-4</a></li> <li>Run E2B…

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