model stringclasses 1
value | messages listlengths 2 2 | max_tokens int64 128 512 | temperature int64 0 0 | ignore_eos bool 1
class | stream bool 1
class |
|---|---|---|---|---|---|
your-org/your-model-name | [
{
"role": "system",
"content": "# Customer Support Assistant — System Prompt\n\nYou are an AI-powered customer support assistant for Brightline Services, a fictional consumer services company (used here for testing only). You help customers with questions about their account, billing, plans, payments, and g... | 256 | 0 | true | true |
your-org/your-model-name | [
{
"role": "system",
"content": "# Customer Support Assistant — System Prompt\n\nYou are an AI-powered customer support assistant for Brightline Services, a fictional consumer services company (used here for testing only). You help customers with questions about their account, billing, plans, payments, and g... | 512 | 0 | true | true |
your-org/your-model-name | [
{
"role": "system",
"content": "# Customer Support Assistant — System Prompt\n\nYou are an AI-powered customer support assistant for Brightline Services, a fictional consumer services company (used here for testing only). You help customers with questions about their account, billing, plans, payments, and g... | 256 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 512 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 128 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 512 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 512 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 256 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 256 | 0 | true | true |
your-org/your-model-name | [{"role":"system","content":"# Customer Support Assistant — System Prompt\n\nYou are an AI-powered(...TRUNCATED) | 512 | 0 | true | true |
vLLM Benchmark Payloads
Synthetic OpenAI-format chat-completion payloads for latency / throughput benchmarking of a model served with vLLM's OpenAI-compatible server.
File
| File | Records | Notes |
|---|---|---|
payloads_1k_generic.jsonl |
1,000 | The benchmark dataset — one request body per line. Each has a ~12k-token system prompt + a dynamic per-record customer context. |
sample_payload.json |
1 | One pretty-printed record, to inspect the format quickly. |
All data is 100% synthetic (generated with Faker) using a fictional company; nothing real.
Records are reproducible (fixed seed). Every payload sets benchmark-friendly flags:
temperature: 0, ignore_eos: true (runs the full max_tokens for comparable latency),
and stream: true (enables time-to-first-token). max_tokens varies across 128 / 256 / 512.
Each record is a generic market-standard customer-support system prompt (~12,000 tokens, shared across records — useful for prefix-cache testing) wrapped around a dynamic account block that changes every record: customer name, language (en-IN/hi-IN), plan, account/phone last-4, amount due, due date, status, city, and more.
1. Serve the model
pip install vllm
vllm serve <ORG>/<MODEL_NAME> # starts on http://localhost:8000
Set
"model"in the payloads to match the served name. CheckGET /v1/modelsto confirm it.
2. Quick smoke test (first record)
head -n 1 payloads_1k_generic.jsonl \
| curl http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" -d @-
3. Run all payloads and time each
while IFS= read -r line; do
curl -s -o /dev/null -w 'latency: %{time_total}s\n' \
http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" -d "$line"
done < payloads_1k_generic.jsonl
4. Full benchmark (recommended metrics)
vLLM's built-in benchmark reports latency, TTFT, TPOT, and throughput:
vllm bench serve \
--model <ORG>/<MODEL_NAME> \
--dataset-name random \
--random-input-len 12000 \
--random-output-len 256 \
--num-prompts 200 \
--request-rate 10
- Downloads last month
- 27