dsh-ollama
DeepSeek Harness plugin for Ollama native protocol 适合需要在DSH中连接、拉取和配置本地Ollama运行模型的用户。
같은 패키지 이름의 다른 저장소
설치
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:orzgithub/dsh-ollamaConfiguration
All configuration is done through the DSH GUI:
- Open the sidebar Plugins page and use the Ollama bundle card
- Connection — Set your Ollama server address and test connectivity
- Installed Models — View, inspect, and remove models
- Pull Model — Download new models by name (e.g.
llama3.1:8b) - Parameters — Tune Ollama-specific generation parameters (click "Ollama Params" button in the chat input area when an Ollama model is active)
Configurable Parameters
| 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 |