DeepSpeed ZeRO++: A leap in speed for LLM and chat model training
To address these limitations, we are releasing ZeRO++, a system of communication optimization strategies built on top of ZeRO to offer unmatched efficiency for large model training, regardless of batch size limitations or cross-device bandwidth constraints. ZeRO++ leverages quantization, in combination with data, and communication remapping, to reduce total communication volume by 4x compared with
DeepSpeed/blogs/deepspeed-chat/japanese at master · microsoft/DeepSpeed
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DeepSpeed/deepspeed/runtime/utils.py at master · microsoft/DeepSpeed
deepspeed.runtime.zero.stage3 — DeepSpeed 0.15.1 documentation
DeepSpeed/blogs/deepspeed-ucp/README.md at master · microsoft/DeepSpeed
DeepSpeed Meetup in Japan on May 23, 2024
DeepSpeed is slower than FSDP · Issue #5047 · microsoft/DeepSpeed
DeepSpeedExamples/training/imagenet/main.py at master · microsoft/DeepSpeedExamples
Getting Started with DeepSpeed-Ulysses for Training Transformer Models with Extreme Long Sequences
DeepSpeed/blogs/deepspeed-ulysses/japanese at master · microsoft/DeepSpeed
DeepSpeed Configuration JSON
DeepSpeed/docs/code-docs/source/initialize.rst at master · microsoft/DeepSpeed
ChatGLM-finetune-LoRA/train.py at main · lich99/ChatGLM-finetune-LoRA
Getting Started with DeepSpeed for Inferencing Transformer based Models
GitHub - huggingface/transformers-bloom-inference: Fast Inference Solutions for BLOOM
DeepSpeed/deepspeed/runtime/bf16_optimizer.py at master · microsoft/DeepSpeed
DeepSpeedExamples/training/pipeline_parallelism/train.py at master · microsoft/DeepSpeedExamples
DeepSpeed Data Efficiency: A composable library that makes better use of data, increases training efficiency, and improves model quality
GitHub - microsoft/Megatron-DeepSpeed: Ongoing research training transformer language models at scale, including: BERT & GPT-2
DeepSpeed Deep Dive — Model Implementations for Inference (MII)
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