add kunlun llama70b case #462
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shh2000
reviewed
Feb 28, 2024
| @@ -132,7 +132,9 @@ LOGGING_ARGS=" | |||
| " | |||
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| source $VENDOR_SHELL | |||
| cmd="torchrun $DISTRIBUTED_ARGS /workspace/FlagScale/pretrain_llama.py \ | |||
| CODE_PATH="/workspace/FlagScale/pretrain_llama.py" | |||
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这里请把source vendor_shell放到CODEpath后面吧
shh2000
reviewed
Feb 28, 2024
| | R300十机32卡（10x8） | amp | TP8PP4DP1 | / | / | / | / | / | | ||
| | R300十机32卡（10x8） | amp | TP4PP8DP1 | / | / | / | 21/32 | / | | ||
| | R300十机32卡（10x8） | amp | TP4PP8DP1 | GAS=1024(GBS=1024=4M tokens) | / | doing | 21/32 | / | | ||
| 因缺少R300机器，在单卡R300与单卡GPU上初步验证精度 |
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*doing：因缺少blabla，目前已通过减小模型层数的方式，在单卡R300与单卡GPU上验证精度。完整70B模型的精度验证进行中。可以按照这个写好后，上面表格里的doing改成doing*
shh2000
reviewed
Feb 28, 2024
| batchsize = 1 | ||
| accumulate_steps = 44 | ||
| train_tokens = 100000000 | ||
| theoryflops = 495000000000000.0 |
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