Name	Name	Last commit message	Last commit date
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README.md	README.md
cli-reference.md	cli-reference.md
configuration-system.md	configuration-system.md
end-to-end-training-recipes.md	end-to-end-training-recipes.md
environment-and-xla-flags.md	environment-and-xla-flags.md
jax-maxtext-training.md	jax-maxtext-training.md
megatron-lm-training.md	megatron-lm-training.md
micro-benchmarking.md	micro-benchmarking.md
node-smoke-test-instruction.md	node-smoke-test-instruction.md
posttraining.md	posttraining.md
preflight-without-container.md	preflight-without-container.md
preflight.md	preflight.md
pretraining.md	pretraining.md
primus-tools.md	primus-tools.md
projection.md	projection.md
torchtitan-training.md	torchtitan-training.md
tuning-agent.md	tuning-agent.md

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User guide

Core workflows and day-to-day usage.

Primus tools: start here—an at-a-glance catalog of all Primus tools and ecosystem projects with how-to starting points
CLI reference: primus-cli modes, flags, and subcommands
Configuration system: YAML configuration model, presets, overrides, inheritance
Environment and XLA flags: where to set env vars, how to override XLA_FLAGS safely, how to verify what took effect
Pretraining: pretraining concepts: backends, YAML structure, parallelism, configuration inventory
End-to-end training recipes: pretraining commands: copy-paste, GPU-arch-specific run commands
Megatron-LM training performance validation: reproduce the published Megatron backend benchmarks on the rocm/primus image
TorchTitan training performance validation: reproduce the published TorchTitan backend benchmarks on the rocm/primus image
JAX MaxText training performance validation: reproduce the AMD-published MaxText benchmarks via Primus, MAD, or the standalone scripts
Post-training: SFT and LoRA fine-tuning via Megatron Bridge
Node-smoke test instruction: screen a cluster fast and exclude bad nodes before launching a real training job
Preflight: cluster diagnostics and environment validation
Run preflight without a container: run cluster-diagnostic tool directly on the host
Micro-benchmarking: GEMM, RCCL, and dense-GEMM benchmark suites
Projection: memory and performance projection tools
Tuning agent: LLM-driven search for an optimal training configuration (uses projection as an oracle)

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