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Model-Optimizer/tests
Shengliang Xu 3c87751903 Deprecate the single-format quantization CLI flags in favour of --recipe (#2426)
### What does this PR do?

Type of change: deprecation

Deprecates the single-format quantization CLI flags in favour of
`--recipe`. Passing one now emits a `DeprecationWarning`; nothing else
changes.

| script | flags |
|---|---|
| `examples/hf_ptq` | `--qformat`, `--kv_cache_qformat` |
| `examples/megatron_bridge/quantize.py` | `--quant_cfg`,
`--kv_cache_quant`, `--weight_only` |
| `examples/torch_onnx` | `--qformat` |

`--recipe` was already authoritative over all six — silently on
`hf_ptq`, and with a runtime warning on `megatron_bridge` — and
`modelopt/recipe/presets.py` already records the intent in a comment:
*"the long-term direction is to retire `--qformat` /
`--kv_cache_qformat` in favour of `--recipe`"*. This makes that a real
deprecation.

A recipe carries the quantization config, the calibration algorithm and
the KV-cache setting in one file, so they cannot drift apart the way
separate flags can. That drift is not hypothetical: the preset path
applies no MTP exclusion while the recipe unit
`default_disabled_quantizers` disables `mtp.*`, so the same model
quantizes differently depending on which entry point was used.

#### The warning fires only when a flag is actually passed

`RecipeSupersededAction` is an `argparse.Action`, and argparse invokes
an action only for options present on the command line — never for a
default. That matters because several of these default to a *quantizing*
value (`--qformat fp8`, `--kv_cache_qformat fp8_cast`); warning on the
defaults would fire on every run, including runs that correctly use
`--recipe` and never mention the flag.

`examples/speculative_decoding/scripts/quantize_drafter.py` keeps
`--qformat` undeprecated: it has no `--recipe`, so there would be
nothing to migrate to.

### Usage

```bash
# deprecated
python examples/hf_ptq/hf_ptq.py --pyt_ckpt_path <ckpt> --qformat nvfp4 --kv_cache_qformat fp8_cast

# replacement
python examples/hf_ptq/hf_ptq.py --pyt_ckpt_path <ckpt> \
    --recipe general/ptq/nvfp4_experts_only-kv_fp8_cast
```

### Testing

Three tests in `tests/examples/hf_ptq/test_hf_ptq_args.py`, all passing:

- passing `--qformat` / `--kv_cache_qformat` raises `DeprecationWarning`
and still parses the value;
- omitting them raises nothing and leaves the defaults (`fp8`,
`fp8_cast`) untouched;
- the action stays wired to both flags, so a future edit cannot drop it
while leaving the help text.

Defaults and parsed values were diffed against `main` and are unchanged
— the action stores exactly what `store` / `store_true` would have.
`ruff` findings are at parity with `main` on every changed file.

### Before your PR is "*Ready for review*"

- Is this change backward compatible?: ✅ — the flags still work, they
only warn.
- 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?: ✅
- Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?:
✅ — under 0.48.0 Deprecations.
- Did you get Claude approval on this PR?: ❌ — not yet run.

### Additional Information

Draft: the removal release for these flags is not decided here, only the
deprecation.


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

* **Deprecations**
* Legacy quantization CLI options now issue visible `FutureWarning`
messages only when explicitly provided.
* Use `--recipe` instead of deprecated options in Hugging Face PTQ,
Megatron-Bridge, and torch-to-ONNX workflows.
* Existing option values, defaults, and parsing behavior remain
unchanged.
* Weight AutoQuantize recipes without an explicit `kv_cache` setting
continue to use `--kv_cache_qformat` as a fallback.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Shengliang Xu <shengliangx@nvidia.com>
2026-09-14 13:32:28 -07:00
..