Make distinct code and console admonitions so readers are less likely to miss them (#20585)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
@@ -61,7 +61,7 @@ To address the above issues, I have designed and developed a local Tensor memory
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# Install vLLM
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??? Commands
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??? console "Commands"
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```shell
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# Enter the home directory or your working directory.
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@@ -106,7 +106,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Prefill1 (e.g. 10.0.1.2 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=0 vllm serve {your model directory} \
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@@ -128,7 +128,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Decode1 (e.g. 10.0.1.3 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=1 vllm serve {your model directory} \
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@@ -150,7 +150,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Decode2 (e.g. 10.0.1.4 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=2 vllm serve {your model directory} \
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@@ -172,7 +172,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Decode3 (e.g. 10.0.1.5 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=3 vllm serve {your model directory} \
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@@ -203,7 +203,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Prefill1 (e.g. 10.0.1.2 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=0 vllm serve {your model directory} \
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@@ -225,7 +225,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Prefill2 (e.g. 10.0.1.3 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=1 vllm serve {your model directory} \
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@@ -247,7 +247,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Prefill3 (e.g. 10.0.1.4 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=2 vllm serve {your model directory} \
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@@ -269,7 +269,7 @@ python3 disagg_prefill_proxy_xpyd.py &
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### Decode1 (e.g. 10.0.1.5 or 10.0.1.1)
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??? Command
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??? console "Command"
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```shell
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VLLM_USE_V1=1 CUDA_VISIBLE_DEVICES=3 vllm serve {your model directory} \
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@@ -304,7 +304,7 @@ curl -X POST -s http://10.0.1.1:10001/v1/completions \
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# Benchmark
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??? Command
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??? console "Command"
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```shell
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python3 benchmark_serving.py \
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