[SKILL] Sync SGLang skill docs (#23921)
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@@ -46,11 +46,13 @@ Typical startup time: 30-90 seconds depending on model size and whether CUDA gra
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### Step 3: Validate accuracy (sanity check)
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```bash
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python3 -m sglang.test.few_shot_gsm8k --num-q 20
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python3 -m sglang.test.run_eval --host 127.0.0.1 --port <port> --eval-name gsm8k --num-examples 20
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```
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- Expected accuracy: **> 0.8** for capable models (Qwen3-8B, Llama-3.1-8B-Instruct, etc.)
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- This is a quick sanity check, not a rigorous benchmark.
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- `sglang.test.few_shot_gsm8k` is deprecated; use the unified `run_eval` entrypoint.
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- If you intentionally need the old completion-style GSM8K path, add `--api completion`.
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- If accuracy is unexpectedly low, something is wrong — do not proceed to profiling.
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### Step 4: Generate the profile
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@@ -108,7 +110,7 @@ for i in $(seq 1 120); do
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done
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# 3. Accuracy check
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python3 -m sglang.test.few_shot_gsm8k --num-q 20
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python3 -m sglang.test.run_eval --host 127.0.0.1 --port 30000 --eval-name gsm8k --num-examples 20
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# Expected: Accuracy > 0.8
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# 4. Profile
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