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Md. Rakibul Islam's picture
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Md. Rakibul Islam

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reacted to danielhanchen's post with ๐Ÿ‘ about 10 hours ago
Google releases Gemma 4 QAT. โœจ You can now run Gemma 4 at 3x less memory with near original performance. QAT makes it possible to run Gemma 4 26B-A4B on 16GB RAM. GGUFs: https://huggingface.co/collections/unsloth/gemma-4-qat QAT Guide: https://unsloth.ai/docs/models/gemma-4/qat
liked a model 3 days ago
unsloth/gemma-4-12b-it-GGUF
reacted to danielhanchen's post with ๐Ÿ”ฅ 3 days ago
Gemma 4 12B can now run locally on just 8GB RAM via Dynamic GGUFs. Google's new model, Gemma 4 12B Unified supports image, audio and 256K context. You can run and train the model via Unsloth Studio. GGUF: https://huggingface.co/unsloth/gemma-4-12b-it-GGUF Guide: https://unsloth.ai/docs/models/gemma-4
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