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dsh-plugin-local-model

Local GGUF model manager for DeepSeek Harness with on-demand llama.cpp loading and auto-unload.

UI & ProductivityDeveloper Tools
4GitHub Stars1ForksUpdated2026-09-29

Install

$ dsh plugin --profile desktop add github:DZQJOKER/dsh-plugin-local-model

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-plugin-local-model integrates local GGUF model inference into DeepSeek Harness via llama.cpp or kvmem-llama.cpp. It provides a dedicated settings section to configure parameters, select local GGUF models and vision projections (mmproj), and manage parameter presets. The plugin maintains a lightweight resident HTTP proxy that automatically spawns the underlying llama-server on the first incoming prompt and automatically unloads it after 5 minutes of inactivity to reclaim VRAM and system memory.

Key Capabilities

  • Dedicated 'Local Model' settings panel within the DeepSeek Harness settings sidebar
  • On-demand llama-server process launch on first request and automatic idle unload after 5 minutes
  • Parameter presets management allowing one-click switching of model and inference configuration profiles
  • Support for multi-token prediction (MTP) speculative decoding and multimodal vision projections (mmproj)
  • Automatic command-line argument probing and graceful fallback for upstream llama.cpp and kvmem branches
  • Request rewriting for thinking chain support (chat_template_kwargs, reasoning effort mapping, and history think stripping)
  • Protection against context overflow and automatic output token headroom adjustments

Useful For

  • Running offline local GGUF models seamlessly inside DeepSeek Harness without constant VRAM occupation
  • Switching between different model tuning profiles and vision/reasoning presets with a single click
  • Executing vision-capable local LLMs or MTP-accelerated local models through the DSH interface

Who It Fits

  • DeepSeek Harness users running local GGUF models on GPUs or CPUs
  • Developers seeking granular control over llama.cpp inference parameters and VRAM lifecycle
  • Users running custom llama.cpp forks such as kvmem

Documented Limitations

  • Requires users to provide their own GGUF model files and llama.cpp/kvmem runtime binaries
  • Restricted to single active local model instance at a time
  • Settings API bridge strictly listens to loopback (localhost) and rejects non-local/remote web requests

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 3 development, 3 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
DZQJOKER/dsh-plugin-local-model
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
bee0024 · 2026-10-27

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
4GitHub stars
Forks
1
Open issues
1
Last commit
2026-09-29
Last release
2026-09-29
For maintainers

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