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dsh-qwen38-local-qol

Qwen3.8 local inference QoL plugin for DSH with thinking budgets, smart compaction, and multi-engine support.

VisionUI & ProductivityDeveloper ToolsBrowser & Web
20GitHub Stars2ForksUpdated2026-10-13

Install

$ dsh plugin --profile web add github:Yunado/dsh-qwen38-local-qol#v0.3.3

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-qwen38-local-qol is a DeepSeek Harness plugin designed for hosting local Qwen3.8 models (including 27B and Flash-Next) across various backends such as llama.cpp, NInfer, TabbyAPI, and oMLX. It injects per-request thinking budgets, provides a specialized compaction backend to prevent burning token caps during history summarization, preserves multimodal images in tool responses, and includes a live settings tab with per-engine memory.

Key Capabilities

  • Per-request thinking budget control across llama.cpp, NInfer, TabbyAPI, and oMLX backends
  • Tailored history compaction backend that trims prefill and disables thinking during checkpoint summarization
  • Preservation of images in tool outputs using multimodal message schemas
  • Interactive DSH settings tab providing real-time live configuration and independent memory per inference engine
  • Preset declaration bundling the qwen38 agent preset directly into DSH profiles

Useful For

  • Running local Qwen3.8 models on Apple Silicon (oMLX) or PC/Server (llama.cpp, NInfer, TabbyAPI) within DeepSeek Harness
  • Controlling reasoning tokens dynamically per query across low, medium, and extra-high effort levels
  • Preventing context truncation during long-running agent workflows via optimized compaction thresholds

Who It Fits

  • Developers running local LLMs using DeepSeek Harness
  • Users running Qwen3.8 models via llama.cpp, TabbyAPI, NInfer, or Apple Silicon MLX
  • DSH power users needing granular context window and thinking budget management

Documented Limitations

  • Vision token capacity projections on TabbyAPI and oMLX are not calibrated on pre-flight meters
  • Multimodal tool outputs require backend server support for image_url content arrays
  • Agent preset seams are available on web surfaces and do not mount in headless profiles
  • Requires Node.js >=22.14 and compatible DSH host versions

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, 12 development, 6 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
Yunado/dsh-qwen38-local-qol
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
e8b170d · 2026-10-17

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
20GitHub stars
Forks
2
Open issues
0
Last commit
2026-10-13
Last release
2026-10-13
For maintainers

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