Comments (4)
research4pan
commented on June 3, 2024
Thanks for your interest in LMFlow! Currently we are working on the full multi-GPU support for LISA. Model parallelism is not integrated yet. If you run the script directly, it is data parallelism and may require more memory than its single GPU version.
Please stay tuned for our latest update, thanks for your understanding 🙏
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orderer0001
commented on June 3, 2024
Can other training methods be configured with multiple GPUs? Do I need to set parameters manually?
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orderer0001
commented on June 3, 2024
When will Lisa training’s support for multiple GPUs be updated?
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research4pan
commented on June 3, 2024
Can other training methods be configured with multiple GPUs? Do I need to set parameters manually?
Yes. You may use ./scripts/run_finetune.sh, that script support model parallelism by utilizing deepspeed zero3.
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Related Issues (20)
- Causal LM finetuning HOT 3
- ValueError: mutable default <class 'lmflow.utils.conversation_formatter.StringFormatter'> for field user_formatter is not allowed: use default_factory HOT 8
- Hello , Can LMFlow support Qwen1.5-1.8B model Fine-tuning? HOT 3
- LMFlow not support NVIDIA driver 11070? HOT 2
- Hello，Where is the script run_finetune_with_lora_save_aggregated_weights.sh？Why I can't find it in LMFlow/scripts ? HOT 2
- Out Of Memory Issue LISA HOT 4
- Weird Loss with LISA HOT 1
- Hello，How to go on fine-tuning with checkpoint？
- Hello，How to go on fine-tuning with checkpoint？
- Hello，How to go on fine-tuning with checkpoint？ HOT 2
- [BUG] did not output the eval results at all. HOT 3
- Fine-Tuning Crashes for no reason when Eight GPU cards are used. HOT 4
- Hello, why I fine-tuning Qwen1.5-1.8B-Base and test with CMMLU, the model answer repetition HOT 6
- Add 'validation_split_percentage' and 'evaluation_strategy' parameters for Trainers HOT 1
- [BUG] Can Lisa be used for chatglm3 with lmflow? HOT 1
- Weird Loss Curve HOT 1
- Discussion about LISA HOT 1
- [BUG]when map the dataset, i set the num_proc = 2 or 4, it will make mistakes. HOT 8
- Training was successful on a single card 4090GPU, but an error was reported on a 3*4090GPU. why HOT 1
- Full parameter fine-tuning cannot be trained HOT 1
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