Promote 95.384867741895 tok/s as the new strict-fresh Qwen3.6 27B
AutoRound INT4 TP2 record on two Intel Arc Pro B70 GPUs. It combines the
quality-clean graph-safe FlashAttention full target graph with two previously
validated exact ReplaySSM transaction fusions:
No target weight, quantization, prompt, cache, or acceptance semantics changed.
Each window ran candidate and control simultaneously, then swapped the physical GPU pairs:
| Window | Candidate | Control |
|---|---|---|
| candidate 0,1 / control 2,3 | 95.331625 |
87.900916 |
| control 0,1 / candidate 2,3 | 94.523356 |
93.685412 |
Both assignments favored the candidate. Candidate mean of medians was
94.927491, control 90.793164 (+4.5536%). The first window includes a
large pair/thermal effect, so promotion relies on the isolated confirmation,
not the crossover average.
Tracked crossover:
data/qwen36-27b-autoround-int4-b70-baselines/qwen27-tp2-fp16-fullgraph-transaction-crossover-20260711.json.
95.384867741895 tok/s;86.97541500323224;95.62305049791388;91.69809656297546 tok/s;80.40533067412697 tok/s;742.3079368891194 ms.Validity and quality:
cached_tokens=0 for all 12 requests;Tracked evidence:
data/qwen36-27b-autoround-int4-b70-baselines/qwen27-tp2-fp16-fullgraph-transaction-realistic512-20260711.json;data/qwen36-27b-autoround-int4-b70-baselines/qwen27-tp2-fp16-fullgraph-transaction-summary-20260711.json;data/qwen36-27b-autoround-int4-b70-baselines/quality-qwen27-tp2-fp16-fullgraph-transaction-repeat128-ctx1024-20260711.json.cd /home/steve/llm-optimizations
GPU_INDEX=0,1 ZE_AFFINITY_MASK=0,1 \
ONEAPI_DEVICE_SELECTOR=level_zero:0,1 PORT=19622 \
RUN_QUALITY=1 QUALITY_REPEAT_RUNS=128 BENCH_MAX_TOKENS=512 \
experiments/qwen36-27b-autoround-int4-b70/scripts/run-tp2-fullgraph-transaction-candidate.sh
This remains a short-context record lane. Forced chunk decode scales poorly at long context; the graph-safe paged-decode follow-up remains separate.