trending/Model-Optimizer
1
0
Fork 0
mirror of https://github.com/NVIDIA/Model-Optimizer.git synced 2026-10-02 03:14:52 +08:00
Code Issues Packages Projects Releases Wiki Activity

README: trim AutoQuantize Latest News entry to title only (#2301)

Browse Source 
The Latest News entry added in #2291 was too verbose, so this reduces it
to the title-only style used by the rest of the list.

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

## Summary by CodeRabbit

* **Documentation**
* Shortened the AutoQuantize latest-news entry while preserving its date
and link.

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

Signed-off-by: realAsma <akuriparambi@nvidia.com>
This commit is contained in:
realAsma
2026-09-01 15:36:50 -07:00
committed by GitHub
parent 26efbf6ab3
commit c01b4f1609
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1 -1
View File
@@ -27,7 +27,7 @@ Model Optimizer is also integrated with [NVIDIA Megatron-Bridge](https://github.
## Latest News
- [2026/08/24] [BLOG: AutoQuantize: A Fast Automatic Mixed-Precision Assignment](https://nvidia.github.io/Model-Optimizer/announcements/autoquantize.html): How AutoQuantize scores per-layer quantization sensitivity with a fast gradient-based heuristic and solves for the lowest-scoring mixed-precision assignment under an effective-bits budget, with no per-model ablation studies required.
- [2026/08/24] [BLOG: AutoQuantize: A Fast Automatic Mixed-Precision Assignment](https://nvidia.github.io/Model-Optimizer/announcements/autoquantize.html)
- [2026/08/17] [BLOG: Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer](https://developer.nvidia.com/blog/developing-nemotron-3-5-lightning-nvfp4-with-qad-using-nvidia-model-optimizer/): Learn how quantization-aware distillation recovers accuracy from aggressive NVFP4 quantization while reducing model size and increasing throughput.
- [2026/06/26] [BLOG: Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer](https://developer.nvidia.com/blog/creating-the-nvidia-nemotron-3-ultra-nvfp4-checkpoint-with-nvidia-model-optimizer/): How we quantized Nemotron 3 Ultra (550B) to NVFP4 with Model Optimizer — up to 5.9× higher decode-heavy inference throughput than GLM-5.1 754B FP4 while matching BF16 accuracy. [NVFP4 Checkpoint](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4) on Hugging Face.
- [2026/05/27] [**End-to-end Optimization tutorial for Nemotron-3-Nano-30B-A3B**](./examples/megatron_bridge/tutorials/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16): Pruning + two-phase distillation + FP8 quantization achieving 2.6× vLLM throughput and 2.6× memory reduction.