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docs/reference/distributed_training.md: broken example — docker run --gpus all ... forgelm:full torchrun --nproc_per_node=4 -m forgelm.cli --config /workspace/config.yaml (DOC-D1B03-004) #159
The document says. docker run --gpus all ... forgelm:full torchrun --nproc_per_node=4 -m forgelm.cli --config /workspace/config.yaml
What the code does. The image sets ENTRYPOINT ["forgelm"] (Dockerfile:112), so everything after the image name is passed to the forgelm CLI. Verified with the installed package: 'forgelm torchrun --nproc_per_node=4 -m forgelm.cli --config ...' fails with 'argument COMMAND: invalid choice: torchrun'. The command needs --entrypoint torchrun, and the image would also need --entrypoint to run python -m forgelm.cli under torchrun.
User impact. The only documented Docker multi-GPU invocation exits at argument parsing and never starts training.
Proposed correction. Use: docker run --gpus all --shm-size=16g --entrypoint torchrun -v $(pwd)/my_config.yaml:/workspace/config.yaml forgelm:full --nproc_per_node=4 -m forgelm.cli --config /workspace/config.yaml (and see the next finding on the image content).
Turkish mirror. the Turkish page has the same error; fix both in the same PR
Acceptance criteria
Each statement is re-checked against the code at fix time.
Documentation listed above is corrected in English and in its Turkish mirror in the same PR.
Every finding in this issue is resolved or explicitly closed with a reason.
Found by the October 2026 ForgeLM code and documentation review against commit cab2947. Code links point at that commit; line numbers may have moved since. Finding IDs (CR-…, DOC-…, TECH-…) are stable references for this backlog.
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