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NVIDIA-NeMo
Megatron-Bridge
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#52724:
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fix(training): exclude dropped anchor blocks from the DSpark loss and metrics
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#22347:
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#5242 (comment)
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fix(training): exclude dropped anchor blocks from the DSpark loss and metrics
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#5242 (comment)
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fix(training): exclude dropped anchor blocks from the DSpark loss and metrics
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Merge branch 'main' into lifuz/qwen35-35b-8gpu-gb300-mxfp8-recipe
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pull-request/6413
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perf(recipe): add an 8-GPU GB300 MXFP8 pretrain recipe for Qwen3.5-VL 35B-A3B
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#6413 (comment)
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perf(recipe): add an 8-GPU GB300 MXFP8 pretrain recipe for Qwen3.5-VL 35B-A3B
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perf(recipe): add an 8-GPU GB300 MXFP8 pretrain recipe for Qwen3.5-VL 35B-A3B
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[bug] Qwen3-30B-A3B GB200 MXFP8 perf preset (full_iteration CUDA graphs + HybridEP) OOMs in first optimizer step on PyTorch >=2.14 / TE >=2.18 stacks
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#22344:
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#6307 (comment)
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[bug] Qwen3-30B-A3B GB200 MXFP8 perf preset (full_iteration CUDA graphs + HybridEP) OOMs in first optimizer step on PyTorch >=2.14 / TE >=2.18 stacks
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#24258:
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#6307 (comment)
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[bug] Qwen3-30B-A3B GB200 MXFP8 perf preset (full_iteration CUDA graphs + HybridEP) OOMs in first optimizer step on PyTorch >=2.14 / TE >=2.18 stacks
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#16808:
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fix(recipe): use partial CUDA graphs for Qwen3 GB200 MXFP8
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fix(recipe): use partial CUDA graphs for Qwen3 GB200 MXFP8
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fix(recipe): use partial CUDA graphs for Qwen3 GB200 MXFP8
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perf(recipe): add an 8-GPU GB300 MXFP8 pretrain recipe for Qwen3.5-VL 35B-A3B
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#6413
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