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Déploiement et opérations · SKILL.md

webui-and-ops

webui-and-ops

Operate LLaMA Factory's LlamaBoard Web UI, web chat, install/runtime checks, CLI help/version/env routes, operational environment variables, Docker exposure, and experiment-monitor setup.

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Documentation de la Skill

GitHub

name: webui-and-ops description: "Operate LLaMA Factory's LlamaBoard Web UI, web chat, install/runtime checks, CLI help/version/env routes, operational environment variables, Docker exposure, and experiment-monitor setup." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Web UI and Ops

Use this sub-skill when the user needs to install or sanity-check LLaMA Factory, launch or troubleshoot LlamaBoard or WebChat, inspect CLI routes, collect environment/version information, set operational environment variables, expose Docker ports, or configure experiment-monitoring integrations.

Route by task

  • For installation, import, CLI route discovery, help, version, env, Docker, and a quick local health check, use references/installation-and-commands.md and scripts/llamafactory_sanity_check.py.
  • For llamafactory-cli webui, llamafactory-cli webchat, Gradio host/share settings, UI state files, subprocess logs, and LlamaBoard process behavior, use references/webui-operations.md.
  • For missing dependencies, port conflicts, hub toggles, version checks, logging verbosity, VRAM recording, forced torchrun, and monitors such as W&B, SwanLab, and MLflow, use references/troubleshooting.md.
  • Route OpenAI-compatible API endpoint behavior, request schemas, vLLM/SGLang serving details, and API authentication to ../inference-and-serving/.
  • Route training YAML semantics, dataset/template choices, LoRA/quantization/deepspeed tuning, and loss/metric interpretation to ../training-and-configs/.
  • Route model loading, adapter merge/export, and tokenizer/model patching to ../model-loading-and-export/.
  • Route experimental v1 behavior to ../v1-experimental/ when present; v0 is the default unless USE_V1=1 is set.

Fast workflow

  1. Verify the package context with python sub-skills/webui-and-ops/scripts/llamafactory_sanity_check.py from an environment where LLaMA Factory may be installed.
  2. Confirm routes with llamafactory-cli help, llamafactory-cli version, and llamafactory-cli env when dependencies are complete.
  3. Launch the full UI with llamafactory-cli webui or pure chat UI with llamafactory-cli webchat.
  4. If launch fails, check optional imports (gradio, fastapi, uvicorn, sse-starlette), port/proxy settings, and LLAMAFACTORY_VERBOSITY=DEBUG logs before changing training or inference configs.
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