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# qwen27b-chat-0-8k-7day-compare
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qwen3.5-27b `chat` trace, `0~8k` input bucket, tuned-best vs baseline cross-day compare on internal vLLM (`/usr/local/bin/vllm`), compared by `request_rate_per_gpu`.
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## Setup
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- Hardware: `dash1`, `8x H20`
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- Model: `/home/admin/resource/model/464482ce/qwen3.5-27b/256k-0223-internal`
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- Engine: internal vLLM
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- Baseline: empty patch over the study spec baseline, aligned to `~/run_qwen27b.sh` `TP=1, DP=1`
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- Tuned best source: `trial-0004` from `dash0-qwen27b-tight-slo-10min-run9-chat-0-8k-codex-topology`
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- Tuned best config:
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- `tensor-parallel-size=2`
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- `data-parallel-size=1`
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- Trace family: `chat`
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- Input bucket: `0 <= input_length <= 8192`
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- Time range scanned: `2026-03-11` to `2026-03-17`
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- Available windows in this slot: `5`
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- `chat_w20260311_1000`
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- `chat_w20260312_1000`
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- `chat_w20260313_1000`
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- `chat_w20260316_1000`
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- `chat_w20260317_1000`
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- Window duration: `600s` (`10:00-10:10`)
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- Request mode: `chat`
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- SLO:
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- pass target: `95%`
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- `TTFT <= 2000ms` for `<=4096` input tokens
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- `TTFT <= 4000ms` for `<=32768` input tokens
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- `TTFT <= 6000ms` for `>32768` input tokens
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- `TPOT <= 50ms`
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- Search:
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- binary search on `sampling_u`
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- `max_probes = 6`
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## Run assets
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- Compare root: `/home/admin/cpfs/wjh/aituner/aituner/.aituner-compare/dash1-qwen27b-chat-0-8k-7days-compare`
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- Summary: `/home/admin/cpfs/wjh/aituner/aituner/.aituner-compare/dash1-qwen27b-chat-0-8k-7days-compare/summary.json`
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- Report: `/home/admin/cpfs/wjh/aituner/aituner/.aituner-compare/dash1-qwen27b-chat-0-8k-7days-compare/report.md`
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- Compare spec: `/home/admin/cpfs/wjh/aituner/aituner/.aituner-compare/specs/qwen27b_chat_0_8k_compare_dash1.json`
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- Tuned study root: `/home/admin/cpfs/wjh/aituner/aituner/.aituner-tight/dash0-qwen27b-tight-slo-10min-run9-chat-0-8k-codex-topology`
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## Aggregate result
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- Comparable wins: tuned `3`, baseline `0`
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- Incomparable windows: `2`
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- Baseline mean request rate: `0.02888888888888889 req/s`
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- Tuned mean request rate: `0.47700000000000004 req/s`
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- Baseline mean request rate per GPU: `0.02888888888888889 req/s/gpu`
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- Tuned mean request rate per GPU: `0.23850000000000002 req/s/gpu`
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## Per-window result
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| Window | Date | Baseline req/s/gpu | Tuned req/s/gpu | Winner |
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| --- | --- | ---: | ---: | --- |
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| `chat_w20260311_1000` | `2026-03-11` | `0.035` | `0.21416666666666667` | `tuned` |
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| `chat_w20260312_1000` | `2026-03-12` | `None` | `0.28` | `incomparable` |
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| `chat_w20260313_1000` | `2026-03-13` | `0.03166666666666667` | `0.265` | `tuned` |
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| `chat_w20260316_1000` | `2026-03-16` | `0.02` | `0.23833333333333334` | `tuned` |
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| `chat_w20260317_1000` | `2026-03-17` | `None` | `0.195` | `incomparable` |
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## Key insights
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- This compare does not support the conclusion that the tuned config lacks generalization. On the available days, tuned wins every directly comparable window.
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- The two `incomparable` days are not execution failures. Baseline completed probing but never found a single feasible `sampling_u` under the target SLO, while tuned still found feasible operating points.
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- The tuned `TP=2, DP=1` shape is materially more robust than the `TP=1, DP=1` baseline for this `0~8k` chat bucket.
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- The throughput gap is large even after normalizing by GPU count, so this is not just a raw-card-count artifact.
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## Recommendation
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For `qwen27b chat 0~8k`, keep using the tuned `TP=2, DP=1` serving shape as the default candidate over the `TP=1, DP=1` baseline, and treat cross-day robustness as confirmed on the currently available windows.
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