一行命令部署任何LLM，Flama让Gemma 4等模型在Apple Silicon上极速运行
Flama 2.0 brings first-class support for generative AI: downloading, packaging, and serving large language models (LLMs) is now as simple as running a…
Gemma 4赋能《Solstice Eternal》，用AI生成创意与强化叙事，打造沉浸式冒险体验。
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built Solstice Eternal – AI Adventure Game Solstice Eternal is an interactiv…
编辑单个神经元，就能修复大模型在长枚举任务中的重复循环崩溃？这项研究揭示了 Gemma 4 模型的深层问题与解法。
arXiv:2606.13705v1 Announce Type: cross Abstract: Yes. Can it cure doom loops? Probably not. The Gemma 4 instruction-tuned models share a reproducible…
用Ollama配合QAT量化，10GB显存笔记本也能跑12B的Gemma 4大模型，内存仅需6.7GB。
This stack uses Ollama with Gemma 4 QAT to run a 12B model on a 10GB VRAM laptop GPU. The latest Gemma 4 QAT checkpoints reduce memory usage and enabl…
从Qwen换到Gemma 4 E4B：本地大模型的新选择，性能与易用性如何？
Article URL: https://digg.com/ai/bfr4bqhh Comments URL: https://news.ycombinator.com/item?id=48437537 Points: 2 # Comments: 0
Google 最新多模态模型 Gemma 4 12B 无需编码器即可本地运行，开源灵活且高效。
Run multimodal AI locally with an encoder-free architecture Discussion | Link
揭秘长上下文推理的内存陷阱：即便模型量化后塞入显存，注意力KV缓存也可能比模型本身更吃内存。
A raw, developer-first look at Google’s new open-weight Gemma 4 family—featuring a hands-on local Python setup, a comparison of the 2B, 9B, and 31B va…
单GPU微调Gemma 4情感数据集，Apache 2.0开源让商用无门槛。
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 When Google dropped Gemma 4 in April 2025, my first reaction was skepticism. We ha…
非程序员教师利用Gemma 4打造全离线Android App，将混乱语音自动转为整洁文字，专为ADD人群设计。
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built I'm Mark. I'm a middle-school teacher, and I'm not a coder. A few time…