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Machine Learning
Command

/stop

Stop a running inference workload.

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From plugin
sparkrun
5398 skills8 commands
Install
> /plugin marketplace add spark-arena/sparkrun
> /plugin install sparkrun@sparkrun

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/stop

Context preview

What this command does when you run it.

Stop a running inference workload.

Command definition

stop.md

/sparkrun:stop

Stop a running inference workload.

Usage

/sparkrun:stop [target] [options]

Examples

/sparkrun:stop glm-4.7-flash-awq
/sparkrun:stop glm-4.7-flash-awq --tp 2
/sparkrun:stop glm-4.7-flash-awq --cluster mylab
/sparkrun:stop e5f6a7b8
/sparkrun:stop sparkrun_e5f6a7b8
/sparkrun:stop --all --cluster mylab

Behavior

When this command is invoked:

1. If no target is specified and `--all` is not used, run `sparkrun cluster status` first to see what's running and ask the user which job to stop. 2. Stop the workload:

# By recipe name
sparkrun stop <recipe> [options]

# By cluster ID (from sparkrun status output)
sparkrun stop <cluster_id> [options]

# Stop all sparkrun containers
sparkrun stop --all --cluster <name>

3. After stopping, optionally run `sparkrun status` to confirm containers are gone.

Common Options

| Option | Description | |--------|-------------| | `--hosts, -H` | Comma-separated host list | | `--cluster` | Use a saved cluster | | `--tp N` | Must match the value used in `run` | | `--port N` | Must match the port override used in `run` | | `--served-model-name` | Must match the served model name used in `run` | | `--all, -a` | Stop all sparkrun containers (no target needed) | | `--dry-run` | Show what would be done |

Notes

  • TARGET can be a recipe name OR a cluster ID (hex string from `sparkrun status` output)
  • The stop command identifies containers by a hash derived from runtime + model + sorted hosts + overrides
  • If `--tp`, `--port`, or `--served-model-name` was used during `run`, they must also be passed to `stop`
  • Use `sparkrun status` to see the exact stop commands for running jobs
  • Use `--all` to discover and stop all sparkrun containers without specifying a target
Read more
Ships withsparkrun

sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Live support: https://discord.com/invite/GH5kRgv6ZD

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Repo: spark-arena/sparkrun

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