Gemma 4 Quantization-Aware Training (QAT) weights are now available on Ollama! They reduce memory ...
TL;DR · AI Summary
Gemma 4 QAT模型在Ollama和Hugging Face上线，显著降低内存需求并保持模型质量。
Key Takeaways
- Gemma 4 QAT模型在Ollama和Hugging Face上线，支持多种模型大小。
- QAT技术可降低内存需求，同时保持模型质量。
- 用户可通过ollama run命令运行不同版本的Gemma 4 QAT模型。
Outline
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Gemma 4 QAT模型在Ollama和Hugging Face上线，支持多种模型大小。
QAT技术可降低内存需求，同时保持模型质量。
用户可通过ollama run命令运行不同版本的Gemma 4 QAT模型。
Mindmap
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查看大纲文本（无障碍 / 无 JS 友好）
- Gemma 4 QAT模型发布
- QAT技术优势
- 降低内存需求
- 保持模型质量
- 模型运行方式
- ollama run命令
Highlights
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Gemma 4 QAT weights are now available on Ollama! They reduce memory requirements while maintaining model quality.
All Gemma 4 model sizes and their drafters are now optimized with QAT to cut memory requirements and maximize on-device performance!
E2B: ollama run gemma4:e2b-it-qat E4B: ollama run gemma4:e4b-it-qat 12B: ollama run gemma4:12b-it-qat 26B: ollama run gemma4:26b-a4b-it-qat 31B: ollama run gemma4:31b-it-qat
ollama on X: "Gemma 4 Quantization-Aware Training (QAT) weights are now available on Ollama! They reduce memory requirements while maintaining model quality. E2B: ollama run gemma4:e2b-it-qat E4B: ollama run gemma4:e4b-it-qat 12B: ollama run gemma4:12b-it-qat 26B: ollama run" / X
ollama
@ollama
Gemma 4 Quantization-Aware Training (QAT) weights are now available on Ollama! They reduce memory requirements while maintaining model quality. E2B: ollama run gemma4:e2b-it-qat E4B: ollama run gemma4:e4b-it-qat 12B: ollama run gemma4:12b-it-qat 26B: ollama run gemma4:26b-a4b-it-qat 31B: ollama run gemma4:31b-it-qat Try them with ollama launch integrations to use with your favorite tools 👇👇👇
Google Gemma
@googlegemma
Jun 5
We just dropped Gemma 4 Quantization-Aware Training (QAT) checkpoints on Hugging Face! All Gemma 4 model sizes and their drafters are now optimized with QAT to cut memory requirements and maximize on-device performance!
6:32 PM · Jun 5, 2026
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