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NVIDIA
Model-Optimizer
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Run the torch_onnx lane's torch_quant_to_onnx.py steps in one worker
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#8516:
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Resolve remote timing server executable path
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Fix linear attention CI dependency and Megatron compatibility
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Fix linear-attention state QAT phase handling and serving profiles
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Run the diffusers example scripts in the pytest process
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test: require source config byte preservation
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Resolve remote timing server executable path
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Document automatic vLLM fakequant reload
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[3/5] Fold grouped expert weights during fakequant export
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docs: add a CHANGELOG entry for the NemotronH aggressive-MSE NVFP4 re…
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test: release vLLM engines between dynamic module tests
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test: require source config byte preservation
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Document automatic vLLM fakequant reload
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[3/5] Fold grouped expert weights during fakequant export
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Merge origin/main into real-quant weight export
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test: preserve Qwen fixture for upstream MoE communication checks
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Fix the GLM-5.1 alias: it is not the input_scale1 recipe
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Document automatic vLLM fakequant reload
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Merge branch 'main' into shengliangx/preprocess-spawn-fix
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Speed up the hf_ptq example tests
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Preserve NVFP4 MoE coverage and reload singleton activation ranges
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Fix megatron_preprocess_data multi-worker segfault: spawn instead of …
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docs: add a CHANGELOG entry for the NemotronH aggressive-MSE NVFP4 re…
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Merge main into NVFP4 ONNX fix branch
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