mirror of https://github.com/hpcaitech/ColossalAI
47 lines
1.8 KiB
Markdown
47 lines
1.8 KiB
Markdown
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# Process OPT-175B weights
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You should download the pre-trained weights following the [doc](https://github.com/facebookresearch/metaseq/tree/main/projects/OPT) before reading this.
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First, install `metaseq` and `git clone https://github.com/facebookresearch/metaseq.git`.
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Then, `cd metaseq`.
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To consolidate checkpoints to eliminate FSDP:
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```shell
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bash metaseq/scripts/reshard_mp_launch_no_slurm.sh <directory_where_all_the_shards_are>/checkpoint_last <output_dir>/ 8 1
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```
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You will get 8 files in `<output_dir>`, and you should have the following checksums:
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```
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7e71cb65c4be784aa0b2889ac6039ee8 reshard-model_part-0-shard0.pt
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c8123da04f2c25a9026ea3224d5d5022 reshard-model_part-1-shard0.pt
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45e5d10896382e5bc4a7064fcafd2b1e reshard-model_part-2-shard0.pt
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abb7296c4d2fc17420b84ca74fc3ce64 reshard-model_part-3-shard0.pt
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05dcc7ac6046f4d3f90b3d1068e6da15 reshard-model_part-4-shard0.pt
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d24dd334019060ce1ee7e625fcf6b4bd reshard-model_part-5-shard0.pt
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fb1615ce0bbe89cc717f3e5079ee2655 reshard-model_part-6-shard0.pt
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2f3124432d2dbc6aebfca06be4b791c2 reshard-model_part-7-shard0.pt
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```
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Copy `flat-meta.json` to `<output_dir>`.
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Then cd to this dir, and we unflatten parameters.
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```shell
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bash unflat.sh <output_dir>/ <new_output_dir>/
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```
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Finally, you will get 8 files in `<new_output_dir>` with following checksums:
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```
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6169c59d014be95553c89ec01b8abb62 reshard-model_part-0.pt
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58868105da3d74a528a548fdb3a8cff6 reshard-model_part-1.pt
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69b255dc5a49d0eba9e4b60432cda90b reshard-model_part-2.pt
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002c052461ff9ffb0cdac3d5906f41f2 reshard-model_part-3.pt
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6d57f72909320d511ffd5f1c668b2beb reshard-model_part-4.pt
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93c8c4041cdc0c7907cc7afcf15cec2a reshard-model_part-5.pt
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5d63b8750d827a1aa7c8ae5b02a3a2ca reshard-model_part-6.pt
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f888bd41e009096804fe9a4b48c7ffe8 reshard-model_part-7.pt
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```
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