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Build and Run vLLM on Arm Servers LP - update dtype #2432

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Merged
merged 2 commits into from
Oct 21, 2025
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Build and Run vLLM on Arm Servers LP - update dtype #2432

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7699226
data type update
chrismoroney Oct 16, 2025
bea94d7
revert bfloat, clarify cloud instance
chrismoroney Oct 20, 2025
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5 changes: 4 additions & 1 deletion content/learning-paths/servers-and-cloud-computing/vllm/vllm-run.md
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Expand Up @@ -41,11 +41,14 @@ prompts = [
"Write a hello world program in Rust",
]

# Modify model here
MODEL = "Qwen/Qwen2.5-0.5B-Instruct"

# Create a sampling params object.
sampling_params = SamplingParams(temperature=0.8, top_p=0.95, max_tokens=256)

# Create an LLM.
llm = LLM(model="Qwen/Qwen2.5-0.5B-Instruct", dtype="bfloat16")
llm = LLM(model=MODEL, dtype="bfloat16")

# Generate texts from the prompts. The output is a list of RequestOutput objects
# that contain the prompt, generated text, and other information.
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2 changes: 1 addition & 1 deletion content/learning-paths/servers-and-cloud-computing/vllm/vllm-setup.md
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Expand Up @@ -8,7 +8,7 @@ layout: learningpathall

## Before you begin

To follow the instructions for this Learning Path, you will need an Arm server running Ubuntu 24.04 LTS with at least 8 cores, 16GB of RAM, and 50GB of disk storage.
To follow the instructions for this Learning Path, you will need an Arm server running Ubuntu 24.04 LTS with at least 8 cores, 16GB of RAM, and 50GB of disk storage. The instructions have been tested on an AWS Graviton3 m7g.2xlarge instance.

## What is vLLM?

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