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configuration-and-cli

Use this sub-skill when working with Hugging Face Accelerate configuration files and CLI commands, including accelerate config/default/update/env/launch/test/estimate-memory/merge-weights/to-fsdp2, launch command construction, multi-node and SLURM planning, config validation, and CLI troubleshooting.

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VectorSpaceLab/AREX-Skill
Última actividad en el origen
26 de agosto de 2026 a las 16:31
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
configuration-and-cli
description
Use this sub-skill when working with Hugging Face Accelerate configuration files and CLI commands, including accelerate config/default/update/env/launch/test/estimate-memory/merge-weights/to-fsdp2, launch command construction, multi-node and SLURM planning, config validation, and CLI troubleshooting.
disable-model-invocation
true
metadata
{"disco-role":"operating"}
license
Apache 2.0
# Accelerate Configuration and CLI Use this sub-skill to create, validate, update, and reason about Accelerate config files and command-line invocations. ## When to Use - Build or debug `accelerate launch` commands for scripts, modules, non-Python executables, multi-node jobs, or SLURM wrappers. - Create or adapt `default_config.yaml` or custom `--config_file` YAML for local CPU, single accelerator, multi-GPU, multi-XPU, or multi-node runs. - Explain or safely run `accelerate config`, `config default`, `config update`, `env`, `test`, `estimate-memory`, `merge-weights`, or `to-fsdp2`. - Diagnose missing configs, invalid YAML, unknown keys, conflicting launcher flags, rendezvous mistakes, subprocess tracebacks, and training-script argument separation. ## Routing Boundaries - For training-loop code changes such as `Accelerator.prepare`, dataloaders, gradient accumulation, trackers, and checkpoint hooks, use `../training-loop-integration/`. - For DeepSpeed, FSDP, Megatron-LM, TPU, and backend-specific semantics beyond CLI flag placement, use `../distributed-training-backends/`. - For `estimate-memory` interpretation and big-model device-map loading workflows, use `../big-model-inference/`. ## Start Here 1. Read `references/cli-reference.md` for command inventory, safe command patterns, and which commands mutate files. 2. Read `references/configuration.md` before editing YAML or choosing top-level config keys. 3. Read `references/launching.md` before composing `accelerate launch`, multi-node, module, no-Python, or SLURM commands. 4. Read `references/troubleshooting.md` when a config or launch command fails. ## Bundled Helpers - `scripts/validate_accelerate_config.py`: validates YAML syntax, known top-level keys, required fields, and common local/multi-node conflicts without importing Accelerate. - `scripts/print_accelerate_help_summary.py`: invokes installed `accelerate --help` subcommands when available and prints a compact availability summary. Run helpers with `python path/to/script.py --help` for usage.
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