Update the hf_ptq.yaml (#1175)

mirror of https://github.com/NVIDIA/Model-Optimizer.git synced 2026-10-02 03:14:52 +08:00

### What does this PR do?

Type of change: Bug fix

Fix the CLI override example comment in
`tools/launcher/examples/Qwen/Qwen3-8B/hf_ptq.yaml` by adding a missing
`--` (double-dash separator) to the `task_0.args` override.

Without the `--` separator, the `--quant` flag would be parsed as an
argument to the launcher/download script rather than being passed
through to the PTQ script (`huggingface_example.sh`). This aligns the
comment example with the actual `task_0.args` definition in the YAML
(line 42), which already correctly includes the `--` separator.

### Testing

Verified the comment now matches the actual args format used in the YAML
config.

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Make sure you read and follow the [Security Best
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(e.g. avoiding hardcoded `trust_remote_code=True`, `torch.load(...,
weights_only=False)`, `pickle`, etc.).

- Is this change backward compatible?: ✅
- If you copied code from any other sources or added a new PIP
dependency, did you follow guidance in `CONTRIBUTING.md`: N/A
- Did you write any new necessary tests?: N/A
- Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?:
N/A

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **Documentation**
* Updated example configuration to correct command-line parameter
formatting in commented usage example.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Signed-off-by: Chenjie Luo <chenjiel@nvidia.com>

This commit is contained in:

Chenjie Luo

2026-04-03 19:04:33 +00:00

committed by

GitHub

parent 9611158508

commit 18ce04f1ce

1 changed files with 1 additions and 1 deletions

									
										tools/launcher/examples/Qwen/Qwen3-8B/hf_ptq.yaml
									
		+1
		-1
	
												View File
												
				@@ -20,7 +20,7 @@

				# Override model/quant via CLI:

				#   uv run launch.py --yaml examples/llm_ptq/hf_ptq.yaml \

				#       pipeline.global_vars.hf_model=Qwen/Qwen3-8B \

				#       pipeline.task_0.args='[--model,<<global_vars.hf_local>>Qwen/Qwen3-8B,--quant,nvfp4]' \

				#       pipeline.task_0.args='[--model,<<global_vars.hf_local>>Qwen/Qwen3-8B,--,--quant,nvfp4]' \

				#       --yes

				job_name: hf_ptq_nvfp4