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[Minor] updating Docker manifest #334

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21 changes: 9 additions & 12 deletions docs/dev-docker/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -24,12 +24,12 @@ The performance data below was measured on a server with MI300X accelerators wit
|---|---|
| BKC | 24.13 |
| ROCm | version ROCm 6.3 |
| amdgpu | build 2009461 |
| amdgpu | build 2041575 |
| OS | Ubuntu 22.04 |
| Linux Kernel | 5.15.0-117-generic |
| BMCVersion | C2789.BC.0809.00 |
| BiosVersion | C2789.5.BS.1C11.AG.1 |
| CpldVersion | 02.02.00 |
| Linux Kernel | 5.15.0-70-generic |
| BMCVersion | C2789.BC.0811.00 |
| BiosVersion | C2789.5.BS.1C17.GN.1 |
| CpldVersion | 02.03.00 |
| DCSCMCpldVersion | 02.02.00 |
| CX7 | FW 28.40.1000 |
| RAM | 1 TB |
Expand Down Expand Up @@ -261,7 +261,7 @@ Benchmark Meta-Llama-3.1-405B FP8 with input 128 tokens, output 128 tokens and t
--num-scheduler-steps 10 \
--tensor-parallel-size 8 \
--input-len 128 \
--output-len 128
--output-len 128

If you want to run Meta-Llama-3.1-405B FP16, please run

Expand All @@ -277,10 +277,7 @@ If you want to run Meta-Llama-3.1-405B FP16, please run
--output-len 128 \
--swap-space 16 \
--max-model-len 8192 \
--max-num-batched-tokens 65536 \
--swap-space
--max-model-len
--gpu-memory-utilization 0.99
--max-num-batched-tokens 65536

For fp8 quantized Llama3.18B/70B models:

Expand Down Expand Up @@ -420,6 +417,6 @@ To reproduce the release docker:
```
git clone https://github.com/ROCm/vllm.git
cd vllm
git checkout 2c60adc83981ada77a77b2adda78ef109d2e2e2b
docker build -f Dockerfile.rocm -t <your_tag> --build-arg BUILD_HIPBLASLT=1 --build-arg USE_CYTHON=1 .
git checkout 14b11f5ad74e04aee9f85f5f591a1f85fad6025d
docker build -f Dockerfile.rocm -t <your_tag> .
```
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