CLI reference

Generated from the running dlm --help output. Auto-regeneration via typer-cli is planned for a follow-up sprint; until then this file is hand-maintained and gated by the test suite.

Global options

Applied to every subcommand:

Option	Env var	Default	Description
--home PATH	DLM_HOME	~/.dlm	Override the store root.
-v, --verbose	—	off	Emit plan / resolver diagnostics on stderr.
-q, --quiet	—	off	Suppress informational output.
--version	—	—	Print version and exit.
--install-completion	—	—	Install shell completion.
--show-completion	—	—	Print shell completion script.
-h, --help	—	—	Show command help.

Commands

dlm init

Bootstrap a new .dlm file with a fresh ULID, create the per-store directory, and persist the license-acceptance record (audit-05 B2).

dlm init <path> [--base <key>] [--template <name>] [--multimodal]
                [--i-accept-license] [--force]

Option	Default	Notes
--base <key>	qwen2.5-1.5b	Registry key or hf:org/name. Ignored when --template is used (the template's recommended_base wins). With --multimodal, defaults to paligemma-3b-mix-224.
--template <name>	None	Bootstrap from a named gallery template. See dlm templates list. Mutually exclusive with --multimodal.
--multimodal	false	Scaffold a vision-language .dlm with an ::image:: section (schema v10). Flips --base to paligemma-3b-mix-224 unless explicitly overridden; a non-VL --base is refused. See multimodal-training cookbook.
--i-accept-license	false	Required for gated bases (Llama-3.2, PaliGemma).
--force	false	Overwrite an existing .dlm at path.

Writes <path> with minimum frontmatter, provisions ~/.dlm/store/<dlm_id>/ with an initial manifest.json, and (for gated bases) stores the LicenseAcceptance record so dlm train / dlm export don't re-prompt. Refuses if the .dlm file already exists and --force wasn't passed.

dlm train

Train / retrain the adapter.

dlm train <path> [--resume|--fresh] [--seed N] [--max-steps N]
                 [--i-accept-license]
                 [--strict-lock|--update-lock|--ignore-lock]

Option	Default	Notes
--resume	false	Continue from training_state.pt. Mutex with --fresh.
--fresh	false	Discard prior optimizer state; train from scratch. Mutex with --resume. Default when neither flag is set.
--seed N	frontmatter.training.seed	Override training seed.
--max-steps N	unlimited	Cap step count.
--i-accept-license	false	Required for gated bases (usually captured once at dlm init and persisted).
--strict-lock	false	Fail on any dlm.lock drift (even WARN).
--update-lock	false	Bypass validation; always write a fresh dlm.lock.
--ignore-lock	false	Bypass validation; don't write dlm.lock.
--gpus SPEC	single-process	Multi-GPU training via Accelerate. all uses every visible CUDA device; N uses the first N; 0,1 selects exact device ids. Dispatches to accelerate launch when >1 device is selected. Refused on MPS/CPU/ROCm; heterogeneous CUDA SMs refused.
--watch	false	Save-to-train mode (Sprint 25). After the initial train, block on filesystem events and re-run bounded-step retrains on each settled save.
--watch-max-steps N	100	Per-cycle step cap for --watch. Keeps cycles responsive.
--watch-debounce-ms N	400	Quiet interval before a burst of saves triggers a retrain.
--repl	false	With --watch: also run dlm repl in the same process. Scaffolded only — threading integration is a followup; today the flag refuses with exit 2.
--no-cache	false	Bypass the tokenized-section cache for this run. Default is cache-on when the .dlm declares training.sources. Use when debugging tokenization or cross-checking cached-vs-uncached determinism. Entries from prior runs stay on disk; the next run without the flag picks them back up. See directive-cache.

The three lock flags are mutually exclusive. See Determinism for the mismatch severity table.

--gpus multiplies the effective batch size by world_size; the resulting lock records world_size and warns on drift between runs. Multi-GPU + QLoRA on CUDA is permitted (bitsandbytes supports DDP); multi-GPU + ROCm is out of scope for Sprint 23.

dlm prompt

Run inference against the current adapter.

dlm prompt <path> [query] [--max-tokens N] [--temp F] [--top-p F]
                  [--adapter NAME] [--gate {auto,off}] [--image PATH]...
                  [--verbose]

Option	Default	Notes
--max-tokens N	256	Max new tokens to generate.
--temp F	0.7	Temperature. 0.0 = greedy decoding (deterministic).
--top-p F	None	Top-p sampling.
--adapter NAME	None	Select a named adapter from training.adapters. Required on multi-adapter documents; rejected on single-adapter ones.
--gate {auto,off}	auto	Learned adapter gate (Sprint 34). auto uses the trained gate when one exists in the store; off forces uniform weights across declared adapters. Silently ignored when --adapter pins a single adapter. See docs/cookbook/learned-adapter-gate.md.
--image PATH	none	Attach an image to the prompt. Repeat for multiple images; each expands to one <image> placeholder the processor slots pixels into. Required on vision-language bases; rejected on text bases. See multimodal-training cookbook.
--backend {auto,pytorch,mlx}	auto	Inference backend. auto picks MLX on Apple Silicon (when uv sync --extra mlx is installed), else PyTorch. Ignored on VL bases (the VL path always uses PyTorch + AutoModelForImageTextToText).
--verbose	false	Print resolved InferencePlan on stderr.

Query is the CLI positional argument. Omit to read from stdin.

dlm repl

Interactive prompt-and-respond REPL against the trained adapter (Sprint 24).

dlm repl <path> [--adapter NAME] [--backend {auto,pytorch,mlx}]

Option	Default	Notes
--adapter NAME	None	Named adapter; required on multi-adapter docs.
--backend {auto,pytorch,mlx}	auto	Same contract as dlm prompt --backend.

Slash commands inside the REPL: /help, /exit, /clear, /save, /adapter, /params, /model, /history. Ctrl-D exits; Ctrl-C cancels generation or input. Session history persists at ~/.dlm/history. See the interactive-session cookbook.

dlm metrics

Query the per-store SQLite metrics DB (Sprint 26).

dlm metrics <path> [--json|--csv] [--run-id N] [--phase PHASE] [--since WINDOW] [--limit N]
dlm metrics watch <path> [--poll-seconds N]

Option	Default	Notes
--json	false	Emit JSON object ({runs: [...], steps: [...], evals: [...]} when combined with --run-id).
--csv	false	Emit CSV of runs or (with --run-id) steps + evals.
--run-id N	None	Drill into one run; prints its step/eval counts.
--phase	None	Filter runs by phase (sft/dpo/orpo/cpt).
--since	None	Time window (24h, 7d, 30m, 10s).
--limit N	20	Cap the number of runs returned.

dlm metrics watch polls the DB and tails new step/eval rows as they arrive. See the metrics cookbook for the full flow + optional TensorBoard / W&B sinks (uv sync --extra observability).

dlm templates

Browse the starter template gallery (Sprint 27).

dlm templates list [--json] [--refresh] [--accept-unsigned]

Option	Default	Notes
--json	false	Emit the full TemplateMeta for each entry as JSON.
--refresh	false	Refresh from the upstream gallery. Currently a no-op — upstream repo and signing key are pending (Sprint 27 deferred polish); the command warns and falls back to the bundled gallery.
--accept-unsigned	false	Reserved. Will bypass signed-tag verification once the live fetcher is wired.

Pair with dlm init --template <name> to create a new .dlm:

dlm init mydoc.dlm --template coding-tutor

See the template-gallery cookbook for the full walkthrough and the TemplateMeta schema.

dlm export

Produce GGUF files + Modelfile + register with Ollama.

dlm export <path> [--quant Q] [--merged [--dequantize]]
                  [--name N] [--no-template] [--skip-ollama]
                  [--no-smoke] [--no-imatrix] [--verbose]
                  [--draft TAG | --no-draft]
                  [--adapter NAME | --adapter-mix SPEC]

Option	Default	Notes
--quant Q	frontmatter.export.default_quant	Q4_K_M / Q5_K_M / Q6_K / Q8_0 / F16.
--merged	false	Merge LoRA into base before quantizing.
--dequantize	false	Required with --merged on a QLoRA adapter (pitfall #3).
--name N	derived	Ollama model name.
--no-template	false	Skip writing TEMPLATE into the Modelfile (power users only — Ollama will fuzzy-match, which Sprint 12 deliberately works around).
--skip-ollama	false	Emit GGUFs but don't register.
--no-smoke	false	Register but skip the smoke prompt.
--no-imatrix	false	Opt out of imatrix-calibrated quantization.
--verbose	false	Surface preflight + conversion diagnostics.
--draft TAG	auto	Override the speculative-decoding draft model.
--no-draft	false	Disable speculative decoding. Mutex with --draft.
--adapter NAME	None	Export a single named adapter from training.adapters. Rejected on single-adapter documents. Mutex with --adapter-mix.
--adapter-mix SPEC	None	Weighted composition like knowledge:1.0,tone:0.5. Produces one Ollama model by merging the named adapters at export time. LoRA-only; QLoRA sources require --dequantize --merged. Mutex with --adapter.
--adapter-mix-method	linear	PEFT merge strategy: linear (default; fast weighted sum) or svd (higher fidelity, heavier compute). Only meaningful with --adapter-mix.

dlm pack

Produce a portable .dlm.pack bundle.

dlm pack <path> [--out PATH] [--include-exports] [--include-base]
                [--include-logs] [--i-am-the-licensee URL]

Option	Default	Notes
--out PATH	<name>.dlm.pack	Pack output.
--include-exports	false	Bundle all GGUF exports.
--include-base	false	Bundle the base model weights. Requires license acknowledgement for gated bases.
--include-logs	false	Bundle per-run JSONL logs.
--i-am-the-licensee URL	none	URL acknowledging separate base-license acceptance.

dlm unpack

Install a .dlm.pack into the local store.

dlm unpack <pack> [--force] [--out DIR]

Option	Default	Notes
--force	false	Overwrite an existing store with the same dlm_id.
--out DIR	pack parent	Where to place the restored .dlm.

dlm push

Upload a .dlm (auto-packs) or .dlm.pack to a sharing destination (Sprint 28).

dlm push <path> --to <destination> [--sign] [pack flags]

Option	Default	Notes
--to <destination>	required	hf:<org>/<repo>, https://... URL endpoint, or a local path.
--sign	false	Sign the pack with minisign before upload (requires minisign on PATH + key at ~/.dlm/minisign.key).
--include-exports	false	Forwarded to dlm pack when auto-packing a .dlm.
--include-base	false	Same.
--include-logs	false	Same.
--i-am-the-licensee URL	none	Required with --include-base on a non-redistributable base.

Destinations:

• hf:<org>/<repo> — HuggingFace Hub. Uses $HF_TOKEN if set. Autogenerates a README.md with library_name: dlm tag. Creates the repo if missing (your personal namespace needs no approval).
• https://… — any HTTPS endpoint that accepts a POST with an application/octet-stream body. Sets Authorization: from $DLM_SHARE_AUTH when present (e.g. Bearer <token>).
• <local/path> — copy the pack to a filesystem path.

dlm pull

Download + verify + unpack a .dlm.pack from a remote source.

dlm pull <source> [--out DIR] [--force]

Option	Default	Notes
<source>	required	hf:<org>/<repo>, https://…, peer://host:port/<id>?token=…, or a local path.
--out DIR	CWD	Directory for the restored .dlm.
--force	false	Overwrite an existing store with the same dlm_id.

Pulls always verify sha256 checksums during unpack. If a .minisig sidecar is served alongside the pack, dlm pull tries every key in ~/.dlm/trusted-keys/*.pub — match → verified, no match → unverified warning (still installs, checksums are fine). No sidecar → unsigned (still installs).

dlm serve

Serve a .dlm's pack over LAN for peers to pull.

dlm serve <path> [--port N] [--public --i-know-this-is-public]
                 [--max-concurrency N] [--rate-limit N]
                 [--token-ttl-minutes N]

Option	Default	Notes
--port N	7337	Bind port.
--public	false	Bind 0.0.0.0 only when paired with --i-know-this-is-public. Without the confirmation flag, --public logs a refusal and binds 127.0.0.1.
--i-know-this-is-public	false	Acknowledges the public bind. Meaningless without --public.
--max-concurrency N	4	Max concurrent connections per token. Excess returns HTTP 429.
--rate-limit N	30	Max requests per minute per token.
--token-ttl-minutes N	15	Issued token lifetime. Ctrl-C invalidates every outstanding token instantly — the session secret lives only in the serving process.

On start, prints the peer:// URL (with embedded token) that the other side pastes into dlm pull. Ctrl-C cleanly stops the server and deletes the temp pack.

dlm doctor

Inspect hardware + print the resolved training plan.

dlm doctor [--json]

No-network. Probes torch + psutil only; refuses to go online.

dlm show

Show training history, exports, and adapter state for a document.

dlm show <path> [--json]

Pretty-prints manifest + lock state. --json emits machine-readable output.

dlm migrate

Migrate a .dlm frontmatter to the current schema version.

dlm migrate <path> [--dry-run] [--no-backup]

Option	Default	Notes
--dry-run	false	Print the migrated frontmatter without writing.
--no-backup	false	Skip the .dlm.bak backup.

dlm cache

Inspect and manage the per-store tokenized-section cache (Sprint 31). The cache speeds up re-training on directive-sourced codebases by keying tokenized output on (section_id, tokenizer_sha, sequence_len).

dlm cache show <path> [--json]
dlm cache prune <path> [--older-than DURATION]
dlm cache clear <path> [--force]

Subcommand	Notes
show	Print entry count, size on disk, last-run hit rate. --json for machine-readable output.
prune	Delete entries not accessed within --older-than (e.g. 30d, 12h, 45m). Default 90d.
clear	Wipe the entire cache. Prompts for confirmation unless --force is passed.

See docs/cookbook/directive-cache.md for tuning, invalidation triggers, and maintenance patterns.

dlm harvest

Pull failing-probe results from a sway-style eval report back into the document as !probe-tagged ::instruction:: sections for the next retrain. See docs/cookbook/probe-driven-training.md.

dlm harvest <path> --sway-json <report> [--apply] [--dry-run]
                   [--tag NAME] [--min-confidence F]
                   [--strict | --lax]
dlm harvest <path> --revert

Option	Default	Notes
--sway-json PATH	required	Path to the sway probe report JSON.
--apply	false	Write changes to disk. Without it, dry-run.
--dry-run	true	Print the diff; no writes.
--revert	—	Strip all auto_harvest=True sections; mutually exclusive with --sway-json.
--tag NAME	auto-harvest	Provenance tag written into harvest_source.
--min-confidence F	0.0	Skip candidates below this confidence.
--strict / --lax	lax	Strict: fail if any failing probe lacks a reference. Lax: skip + log.

Exit codes: 0 success, 1 validation error (malformed JSON, strict miss, mutual-exclusion violation), 2 no candidates to harvest.

dlm train --listen-rpc

During --watch, open a JSON-RPC endpoint that accepts inject_probe pushes from external eval harnesses. Requires DLM_PROBE_TOKEN in the environment. See docs/cookbook/probe-driven-training.md for the wire protocol and security notes.

Option	Default	Notes
--listen-rpc HOST:PORT	off	Bind the probe-RPC endpoint. Requires --watch or --max-cycles.
--max-cycles N	0	Bounded-loop alternative to --watch for convergence runs (scaffolded — currently refuses execution without --watch).

Exit codes

Code	Meaning
0	Success.
1	Runtime failure (license refused, disk full, OOM, template drift, lock validation).
2	CLI misuse (mutex violation, missing argument).

Domain errors are formatted consistently via bare console.print calls in each subcommand (prefix convention: <subject>: <message>, e.g. lock: base_model_revision changed). Uncaught exceptions escape into dlm.cli.reporter which picks a matching prefix from the module the exception came from and renders a tier-3 generic message.