Comments (2)
Hi! We did use LAMB, but we used ZeRO-3, not ZeRO Offload. Thus, we were able to use the GPU version of LAMB from Apex.
Interestingly, in the case of ZeRO-3, LAMB's behavior is slightly different. But, according to our experiments, this does not affect the quality of training in any way.
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Thanks for the detailed reply.
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Related Issues (20)
- Привет HOT 2
- Run on networked nodes
- AWS HOT 1
- Could you share the md5 value for those checkpoints? HOT 2
- Can it be launched on usual VPS? For example, 6 CPU 16 RAM (usual chips) HOT 2
- Would it be possible to run the model on single A100 (40GB) or 2xV100 (32GB) ? HOT 2
- No mention of `bfloat16` in source, and yet weights are `bfloat16`
- CUDA out of memory HOT 6
- NCCL error HOT 1
- PCI x1 or PCI x16 for GPU
- Is there any plans for making cloud service? HOT 1
- Has anyone deployed it on 10x 3090 ? Or any similar configuration? HOT 1
- Provide pruned version for weaker hardware HOT 2
- Citation bibtex? HOT 2
- Request to Open "Russian Pile" Dataset for Public Access
- How to use it with LangChain? HOT 2
- Timeout on 8 x RTX A6000 HOT 2
- Why usage ssh-agent and openssh-client package in docker
- gguf / mlx format?
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