dsh-ollama
适用于 Ollama 原生协议的 DeepSeek Harness 插件
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:orzgithub/dsh-ollama#b32c587321df921dff3a9f9833ee52fc1288010cOllama 以 dsh-ollama 发布，当前版本为 0.1.2。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →English | 中文
A DeepSeek Harness plugin for local AI models via Ollama native protocol.
/api/chat NDJSON streaming directly, no OpenAI-compatible bridge neededInstall the plugin into a DSH profile (the Web profile is usually named web):
dsh plugin --profile <your profile, usually web> add github:orzgithub/dsh-ollama#0.1.2
For example, into the web profile:
dsh plugin --profile web add github:orzgithub/dsh-ollama#0.1.2
#0.1.2 pins the release tag — omit it to follow the repository's default branch. Restart DSH afterwards; the Ollama card then appears on the sidebar Plugins page.
http://127.0.0.1:11434)All configuration is done through the DSH GUI:
llama3.1:8b)| Parameter | Description |
|---|---|
| Temperature | Sampling temperature (0–2) |
| Seed | Random seed for reproducibility |
| Top K / Top P / Min P | Nucleus sampling controls |
| Repeat Penalty / Repeat Last N | Repetition penalty settings |
| Frequency / Presence Penalty | Token penalty controls |
| Mirostat / Mirostat Tau / Mirostat Eta | Mirostat adaptive sampling |
| TFS Z / Typical P | Alternative sampling methods |
Max Tokens (num_predict) | Maximum output tokens |
Context Length (num_ctx) | Context window size |
| Stop Sequences | Comma-separated stop tokens |
| Thinking | Enable/disable Ollama thinking mode |
GPL-3.0