Files
realAsma b9cfdce8dc docs: add Local Hessian NVFP4 weight-scale announcement blog (#2417)
### What does this PR do?

Type of change: documentation

Adds a Local Hessian announcement blog at
`docs/source/announcements/local-hessian.rst`, covering the NVFP4
per-block
weight-scale rule that minimizes output error instead of weight error.

Contents:

- Derivation of the per-block output-error objective and its `16x16`
local
  Hessian, with numbered equations.
- Results on Qwen3.5-9B: scale-setting comparison against max, MSE, and
  Four-over-six, plus composition with GPTQ.
- Figure 1, a grouped bar chart of the Qwen3.8-27B W4A4 candidate scores
  (BF16 in gray, the two scale rules in NVIDIA greens).
- A "Using Local Hessian" section with the config example and the
  end-to-end `hf_ptq.py` command.

Two supporting changes outside the blog:

- `docs/source/_static/announcements.css`: the `shibuya` theme has no
`span.eqno` rule, so Sphinx's default `float: right` on equation numbers
cannot share a line with MathJax's full-width display block and the
number
renders *above* the equation. This anchors it to the right of the
equation
  instead, and shrinks the table-note class.
-
`docs/source/announcements/assets/qwen3-27b-w4a4-scale-rule-accuracy.png`:
  the Figure 1 asset.

### Usage

```python
import modelopt.torch.quantization as mtq

config = {
    "quant_cfg": [...],  # quantizer configuration
    "algorithm": {"method": "local_hessian", "fp8_scale_sweep": True},
}

model = mtq.quantize(model, config, forward_loop)
```

### Testing

Documentation only; no code paths change. The `.rst` parses cleanly
under
docutils. The rendered page has not been checked with a full
`sphinx-build`,
so the equation-number CSS fix and the figure placement are worth an
eyeball
on the built docs before merge.

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

- Is this change backward compatible?: N/A
- 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
- Did you get Claude approval on this PR?: ❌

### Additional Information

Two items to settle before this is ready to publish:

1. The `--recipe` example points at

`modelopt_recipes/models/Qwen/Qwen3.8-27B/ptq/nvfp4_local_hessian-fp8_attn-kv_fp8_cast.yaml`,
a placeholder path derived from the existing recipe naming convention.
It
   needs to match whatever lands in #2363.
2. The tables report single-run team measurements; the blog says so and
makes
   no significance claims.

🤖 Generated with [Claude Code](https://claude.com/claude-code)


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

- **Documentation**
- Added guidance on NVFP4 Local-Hessian weight-scale selection,
including mathematical details, accuracy comparisons, runtime
considerations, limitations, configuration examples, and reproduction
steps.
- Updated announcement labels, headings, metadata, descriptions, and
filtering text to use “Local-Hessian.”

- **Style**
- Improved announcement formatting for equation labels, display-equation
spacing, Hessian results, table headers, and explanatory notes.

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

---------

Signed-off-by: realAsma <akuriparambi@nvidia.com>
2026-09-16 21:48:11 +00:00
..