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gemma4-local-deploy

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在本机 Mac 或 Apple Silicon 上部署 Gemma 4 12B。本地安装/升级 llama.cpp，下载 GGUF 量化模型，用 llama-server 暴露 OpenAI-compatible API，或用 Ollama 暴露本地模型服务；按用户需求在默认 Q4_K_M、64K/128K 长上下文、QAT Q4_0 @ 256K、左右对比演示之间选择，配置 tmux 后台运行，验证健康检查、问答接口、资源占用和常见故障。当用户说部署 Gemma 4、Gemma 4 12B、本地大模型、长上下文、QAT、量化、llama-server、Ollama、GGUF、Mac 本地模型服务时使用。

skills/gemma4-local-deploy/SKILL.md

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# Gemma 4 12B 本地部署

把 Gemma 4 12B 的 GGUF 版本部署成本机模型服务。默认使用 `llama.cpp` / `llama-server`、Apple Metal、`Q4_K_M` 和 `tmux`，只监听 loopback；用户明确要求 QAT、256K、对比演示或 Ollama 时才切换路线。

## Operating Contract

- Direct actions: 读取本机硬件、磁盘、端口、进程和模型缓存；在用户已要求本地部署时，安装或升级明确的软件包、下载选定模型、创建专用模型目录和 tmux 会话，并只绑定 `127.0.0.1`。
- Escalate before: 停止不属于本 Skill 的现有进程、覆盖已有模型或配置、删除用户数据、监听公网地址、改变防火墙，或下载用户未选择的大型模型变体。
- Evidence-backed pushback: 如果用户指定的模型标签、上下文、内存预算或本机能力与当前可验证状态冲突，先展示命令输出并提出可运行的 profile，不伪造支持状态。
- Feedback loop: 现状检查 → 选择并复述 profile → 执行一条部署路线 → 当前会话完成健康、模型和聊天验证 → 报告端点、资源与限制。

## 默认选择

- 默认模型仓库：`ggml-org/gemma-4-12B-it-GGUF`
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