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Merged
merged 1 commit into from
Nov 10, 2025
Merged

Make wheel build manual CI job #529

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3 changes: 3 additions & 0 deletions .gitlab/release.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,17 +5,20 @@ build-and-upload-wheels:
stage: release
timeout: 15m
tags: [type/docker, os/linux] # Use a runner with these tags
needs: []
rules:
- if: $JET_ONLY != null
when: never
- if: $CI_COMMIT_TAG =~ /^\d+\.\d+\.\d+$/
when: manual
variables:
RELEASE: "true"
TWINE_USERNAME: svc-dl-algo-ammo
TWINE_PASSWORD: $ARTIFACTORY_TOKEN # Configured in GitLab > Settings > CI/CD
REPO_URL: https://urm.nvidia.com/artifactory/api/pypi/sw-dl-algo-ammo-pypi-local
- if: $CI_PIPELINE_SOURCE == "schedule"
variables:
when: manual
RELEASE: "false"
TWINE_USERNAME: gitlab-ci-token
TWINE_PASSWORD: $CI_JOB_TOKEN
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11 changes: 2 additions & 9 deletions CHANGELOG.rst
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@@ -1,13 +1,5 @@
Model Optimizer Changelog (Linux)
=================================
0.41 (2025-12-xx)
^^^^^^^^^^^^^^^^^

**Deprecations**

**New Features**
- Add FP8/NVFP4 KV cache quantization support for Megatron Core models.


0.40 (2025-12-xx)
^^^^^^^^^^^^^^^^^
Expand All @@ -20,8 +12,9 @@ Model Optimizer Changelog (Linux)

- Add MoE (e.g. Qwen3-30B-A3B) pruning support for ``num_moe_experts``, ``moe_ffn_hidden_size`` and ``moe_shared_expert_intermediate_size`` parameters in Minitron pruning (``mcore_minitron``).
- Add ``specdec_bench`` example to benchmark speculative decoding performance. See `examples/specdec_bench/README.md <https://github.com/NVIDIA/TensorRT-Model-Optimizer/tree/main/examples/specdec_bench#speculative-decoding-benchmark>`_ for more details.
- Add FP8/NVFP4 KV cache quantization support for Megatron Core models.

0.39 (2025-11-14)
0.39 (2025-11-11)
^^^^^^^^^^^^^^^^^

**Deprecations**
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