deepspeed
https://github.com/microsoft/deepspeed
Python
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
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- Issues
- Recognize Qwen3.5's RMSNorm variants in AutoTP module loading
- [AutoTP] Fix training lm_head routing
- Honor adam_w_mode in the CPU multi_tensor_adam binding
- [Apple Silicon Support Phase 1] Add Metal FusedAdam kernel and CPU Adam build for Apple Silicon
- feat(opsd): share prompt prefill across rollout samples
- [BUG] ZeRO-1/2 fail mapping zero-sized parameter inside a partition
- Fix AutoTP metadata updates for unsharded modules
- perf(rollout): add HybridEngine rollout profiling
- Skip zero-sized parameters in HP fragment mapping
- [Ulysses SP] process-wide _ulysses_num_kv_heads global breaks a second model with a different head count in the same process
- Docs
- Python not yet supported