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Updated README.md with April 29 results #526
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Original file line number | Diff line number | Diff line change |
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@@ -40,14 +40,14 @@ The table below shows performance data where a local inference client is fed req | |
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| Model | Precision | TP Size | Input | Output | Num Prompts | Max Num Seqs | Throughput (tokens/s) | | ||
|-------|-----------|---------|-------|--------|-------------|--------------|-----------------------| | ||
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 3200 | 3200 | 16364.9 | | ||
| | | | 128 | 4096 | 1500 | 1500 | 12171.0 | | ||
| | | | 500 | 2000 | 2000 | 2000 | 13290.4 | | ||
| | | | 2048 | 2048 | 1500 | 1500 | 8216.5 | | ||
| Llama 3.1 405B (amd/Llama-3.1-405B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 1500 | 1500 | 4331.6 | | ||
| | | | 128 | 4096 | 1500 | 1500 | 3409.9 | | ||
| | | | 500 | 2000 | 2000 | 2000 | 3184.0 | | ||
| | | | 2048 | 2048 | 500 | 500 | 2154.3 | | ||
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 3200 | 3200 | 16896.6 | | ||
| | | | 128 | 4096 | 1500 | 1500 | 13943.8 | | ||
| | | | 500 | 2000 | 2000 | 2000 | 13512.8 | | ||
| | | | 2048 | 2048 | 1500 | 1500 | 8444.5 | | ||
| Llama 3.1 405B (amd/Llama-3.1-405B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 1500 | 1500 | 4359.9 | | ||
| | | | 128 | 4096 | 1500 | 1500 | 3430.9 | | ||
| | | | 500 | 2000 | 2000 | 2000 | 3226.8 | | ||
| | | | 2048 | 2048 | 500 | 500 | 2228.2 | | ||
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*TP stands for Tensor Parallelism.* | ||
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@@ -57,38 +57,38 @@ The table below shows latency measurement, which typically involves assessing th | |
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| Model | Precision | TP Size | Batch Size | Input | Output | MI300X Latency (sec) | | ||
|-------|-----------|----------|------------|--------|---------|-------------------| | ||
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 17.411 | | ||
| | | | 2 | 128 | 2048 | 18.750 | | ||
| | | | 4 | 128 | 2048 | 19.059 | | ||
| | | | 8 | 128 | 2048 | 20.857 | | ||
| | | | 16 | 128 | 2048 | 22.670 | | ||
| | | | 32 | 128 | 2048 | 25.495 | | ||
| | | | 64 | 128 | 2048 | 34.187 | | ||
| | | | 128 | 128 | 2048 | 48.754 | | ||
| | | | 1 | 2048 | 2048 | 17.699 | | ||
| | | | 2 | 2048 | 2048 | 18.919 | | ||
| | | | 4 | 2048 | 2048 | 19.220 | | ||
| | | | 8 | 2048 | 2048 | 21.545 | | ||
| | | | 16 | 2048 | 2048 | 24.329 | | ||
| | | | 32 | 2048 | 2048 | 29.461 | | ||
| | | | 64 | 2048 | 2048 | 40.148 | | ||
| | | | 128 | 2048 | 2048 | 61.382 | | ||
| Llama 3.1 405B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 46.601 | | ||
| | | | 2 | 128 | 2048 | 46.947 | | ||
| | | | 4 | 128 | 2048 | 48.971 | | ||
| | | | 8 | 128 | 2048 | 53.021 | | ||
| | | | 16 | 128 | 2048 | 55.836 | | ||
| | | | 32 | 128 | 2048 | 64.947 | | ||
| | | | 64 | 128 | 2048 | 81.408 | | ||
| | | | 128 | 128 | 2048 | 115.296 | | ||
| | | | 1 | 2048 | 2048 | 46.998 | | ||
| | | | 2 | 2048 | 2048 | 47.619 | | ||
| | | | 4 | 2048 | 2048 | 51.086 | | ||
| | | | 8 | 2048 | 2048 | 55.706 | | ||
| | | | 16 | 2048 | 2048 | 61.049 | | ||
| | | | 32 | 2048 | 2048 | 75.842 | | ||
| | | | 64 | 2048 | 2048 | 103.074 | | ||
| | | | 128 | 2048 | 2048 | 157.705 | | ||
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 15.427 | | ||
| | | | 2 | 128 | 2048 | 16.661 | | ||
| | | | 4 | 128 | 2048 | 17.326 | | ||
| | | | 8 | 128 | 2048 | 18.679 | | ||
| | | | 16 | 128 | 2048 | 20.642 | | ||
| | | | 32 | 128 | 2048 | 23.260 | | ||
| | | | 64 | 128 | 2048 | 30.498 | | ||
| | | | 128 | 128 | 2048 | 42.952 | | ||
| | | | 1 | 2048 | 2048 | 15.677 | | ||
| | | | 2 | 2048 | 2048 | 16.715 | | ||
| | | | 4 | 2048 | 2048 | 17.684 | | ||
| | | | 8 | 2048 | 2048 | 19.444 | | ||
| | | | 16 | 2048 | 2048 | 22.282 | | ||
| | | | 32 | 2048 | 2048 | 26.545 | | ||
| | | | 64 | 2048 | 2048 | 36.651 | | ||
| | | | 128 | 2048 | 2048 | 55.949 | | ||
| Llama 3.1 405B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 45.294 | | ||
| | | | 2 | 128 | 2048 | 46.166 | | ||
| | | | 4 | 128 | 2048 | 47.867 | | ||
| | | | 8 | 128 | 2048 | 51.065 | | ||
| | | | 16 | 128 | 2048 | 54.304 | | ||
| | | | 32 | 128 | 2048 | 63.078 | | ||
| | | | 64 | 128 | 2048 | 81.906 | | ||
| | | | 128 | 128 | 2048 | 108.097 | | ||
| | | | 1 | 2048 | 2048 | 46.003 | | ||
| | | | 2 | 2048 | 2048 | 46.596 | | ||
| | | | 4 | 2048 | 2048 | 49.273 | | ||
| | | | 8 | 2048 | 2048 | 53.762 | | ||
| | | | 16 | 2048 | 2048 | 59.629 | | ||
| | | | 32 | 2048 | 2048 | 73.753 | | ||
| | | | 64 | 2048 | 2048 | 103.530 | | ||
| | | | 128 | 2048 | 2048 | 151.785 | | ||
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*TP stands for Tensor Parallelism.* | ||
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@@ -490,7 +490,7 @@ To reproduce the release docker: | |
```bash | ||
git clone https://github.com/ROCm/vllm.git | ||
cd vllm | ||
git checkout b8498bc4a1c2aae1e25cfc780db0eadbc4716c67 | ||
git checkout c43debd43c4d8a7e4fdeff4c069c5970e5e701c0 | ||
docker build -f docker/Dockerfile.rocm -t <your_tag> --build-arg USE_CYTHON=1 . | ||
``` | ||
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@@ -507,6 +507,9 @@ Use AITER release candidate branch instead: | |
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## Changelog | ||
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20250415_aiter: | ||
- To be added | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. should be removed There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I just updated the note per Teresa's comment in this morning's meeting, let me know if further changes are needed - thanks! |
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20250410_aiter: | ||
- 2-stage MoE | ||
- MLA from AITER | ||
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Why do we keep calling those *_aiter?
Which also reminds me, the above section about using the aiter_integration_final branch is no longer correct, the branch is long deprecated
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I'm not sure, I was just matching the names from previous releases - please let me know if there's another name or any notes I should add.
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It is not removed? I think something went wrong in the last commit
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I removed that section and the "_aiter", if you could advise on what notes to add to the changelog for this container that would be appreciated, otherwise I can remove that entry entirely.