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dsh-llm-finetuning

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install satan9394/dsh-llm-finetuning

Paste the following prompt into your AI chat to install this plugin:

In DeepSeek Harness, run dsh plugin install satan9394/dsh-llm-finetuning to install this plugin; the source code is hosted at https://github.com/satan9394/dsh-llm-finetuning

About this plugin

dsh-llm-finetuning is a DeepSeek Harness plugin in the model-inference category, with its name reflecting an LLM finetuning use case. It plugs into the Harness framework as an extension, offering a unified, plugin-style entry point for developers working with large language model inference and finetuning under the DeepSeek Harness ecosystem.

The project is open-sourced on GitHub under the MIT license and integrates lightly into the Harness plugin architecture. As a model-inference plugin, it stays consistent with the existing inference pipeline paths in Harness, allowing developers to incorporate finetuning-related capabilities into their current workflow without leaving the framework.

Who it is for: small-to-medium teams or individual developers building LLM inference and finetuning pipelines with DeepSeek Harness who want to extend model capabilities through a plugin-based approach.

Use Cases

  • Integrate LLM finetuning capabilities into a DeepSeek Harness inference pipeline
  • Extend the Harness framework with model-side finetuning support via a plugin
  • Iterate finetuning experiments without leaving the Harness ecosystem

Best For

  • Developers building LLM inference and finetuning pipelines with DeepSeek Harness
  • Small-to-medium teams looking to extend model capabilities through plugins
  • Independent developers seeking a lightweight LLM finetuning integration