[
  {
    "label": "gemma4-26b-a4b-q8-b70-llamacpp-mtp-n7-q8target-q40draft-q8reorder-ub768-nmin3-pmin010-fresh-20260627T142318",
    "payload": {
      "batchSize": 1,
      "contextLength": 8192,
      "engineFlags": {
        "actualOutputTokens": 512,
        "actualPromptTokens": 588,
        "attentionBackend": "llama.cpp SYCL",
        "backendSampling": false,
        "benchmarkJson": "data/gemma4-q8-gpu0-mulmatid-fast-q8reorder-ub768-fullconfirm-20260627T142318Z/p512o512.json",
        "cachedTokensAllRows": [
          0,
          0,
          0,
          0,
          0,
          0,
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          0
        ],
        "cachedTokensRow0": 0,
        "canaryRowsPassed": 6144,
        "chunkedPrefill": false,
        "commandSnippet": "ONEAPI_DEVICE_SELECTOR=level_zero:0 UR_L0_USE_IMMEDIATE_COMMANDLISTS=1 GGML_SYCL_DISABLE_GRAPH=0 GGML_SYCL_ENABLE_VMM=0 LLAMA_SERVER=/home/steve/src/llama.cpp-gemma-record-repro-c926/build-sycl-b70-aot-bmg-g31/bin/llama-server MODEL=/mnt/fast-ai/llm-models/gemma4-26b-a4b-it-q8-gguf/gemma-4-26B-A4B-it-UD-Q8_K_XL.gguf MTP_DRAFT_MODEL=/mnt/fast-ai/llm-models/gemma4-26b-a4b-it-q8-gguf/MTP/gemma-4-26B-A4B-it-Q4_0-MTP.gguf LLAMA_SYCL_MUL_MAT_ID_MULTI_TOKEN_FAST=1 LLAMA_SYCL_MUL_MAT_ID_Q8_0_REORDER=1 LLAMA_SPEC_VERIFY_BACKEND_ARGMAX_IDS=1 LLAMA_MTP_DEFER_TARGET_H_NEXTN=1 LLAMA_MTP_DRAFT_FAST_ARGMAX=1 LLAMA_MTP_DRAFT_DIRECT_ARGMAX_IDS=1 LLAMA_MTP_DRAFT_DIRECT_ARGMAX_UNROLL=7 LLAMA_GEMMA4_MTP_QONLY_ATTN_INPUTS=1 LLAMA_GEMMA4_MTP_FUSED_OUTPUT_ARGMAX=1 LLAMA_GEMMA4_MOE_SELECTED_SOFTMAX=1 LLAMA_GEMMA4_MOE_SELECTED_SOFTMAX_FUSED=1 LLAMA_GEMMA4_MOE_WEIGHTED_SUM=1 LLAMA_GEMMA4_MOE_REUSE_ATTN_RMS=1 LLAMA_SYCL_MUL_MAT_ID_ROUTE_CACHE=1 MTP_BACKEND_SAMPLING=0 MTP_N_MAX=7 MTP_N_MIN=3 MTP_P_MIN=0.10 MTP_DRAFT_DEVICE=SYCL0 MTP_DRAFT_THREADS=32 MTP_DRAFT_THREADS_BATCH=32 MTP_EXTRA_ARGS=\"--ctx-checkpoints 0\" CTX_SIZE=8192 BATCH_SIZE=1024 UBATCH_SIZE=768 POLL=100 THREADS=8 CANARY_REPEATS=1536 BENCH_REPEATS=8 PROMPT_TOKENS=512 MAX_TOKENS=512 BENCH_PROMPT_MODE=filled-long scripts/run-gemma4-26b-first-baseline.sh",
        "concurrency": 1,
        "contBatching": false,
        "draftModelFile": "gemma-4-26B-A4B-it-Q4_0-MTP.gguf",
        "draftModelFileBytes": 321126560,
        "draftModelRepo": "local quantized from unsloth/gemma-4-26B-A4B-it-GGUF F16 MTP draft via llama-quantize Q4_0",
        "extraFlags": "AOT BMG-G31 SYCL build; GGML_SYCL_DISABLE_GRAPH=0; VMM disabled; batch=1024; ubatch=768; poll=100; threads=8; draft threads/batch=32; ctx-checkpoints=0; fast argmax draft selection; no backend sampling; direct greedy sampled-token IDs; direct-unroll7; LLAMA_GEMMA4_MTP_QONLY_ATTN_INPUTS=1; LLAMA_GEMMA4_MTP_FUSED_OUTPUT_ARGMAX=1; LLAMA_SPEC_VERIFY_BACKEND_ARGMAX_IDS=1; LLAMA_MTP_DEFER_TARGET_H_NEXTN=1; LLAMA_GEMMA4_MOE_SELECTED_SOFTMAX=1; LLAMA_GEMMA4_MOE_SELECTED_SOFTMAX_FUSED=1; LLAMA_GEMMA4_MOE_WEIGHTED_SUM=1; LLAMA_GEMMA4_MOE_REUSE_ATTN_RMS=1; LLAMA_SYCL_MUL_MAT_ID_ROUTE_CACHE=1; LLAMA_SYCL_MUL_MAT_ID_MULTI_TOKEN_FAST=1; LLAMA_SYCL_MUL_MAT_ID_Q8_0_REORDER=1; MTP_N_MIN=3; MTP_P_MIN=0.10; reasoning off. Quantization file is Unsloth UD-Q8_K_XL GGUF; submitted quantization remains Q8_K_XL. The Q8_0 reorder flag refers to internal GGML Q8_0 expert tensors, not a lower-quality target model.",
        "firstRequestCachedTokens": 0,
        "firstRequestTokSOut": 169.9489959621758,
        "firstRequestTokSTotal": 135.18178237607523,
        "flashAttn": false,
        "freshResponseValidity": "headline tokSOut uses row 0 only: first measured request after canaries, cached_tokens=0. Rows 1-7 are repeated-prompt support/stability rows only and are not averaged into the headline. Speculative draft source is a Q4_0 Gemma MTP draft for the current request; no ngram/history or learned repeated-continuation reuse is used. Full validation: 6144/6144 canary rows, all benchmark rows cached_tokens=0. This result uses the Q8_0 MoE-ID reorder source patch and broad multi-token fast verifier path.",
        "kvCacheDtype": "f16",
        "llamaCppCommit": "c926ad098",
        "llamaGemma4MoeReuseAttnRms": true,
        "llamaGemma4MoeSelectedSoftmax": true,
        "llamaGemma4MoeSelectedSoftmaxFused": true,
        "llamaGemma4MoeWeightedSum": true,
        "llamaGemma4MtpFusedOutputArgmax": true,
        "llamaGemma4MtpQonlyAttnInputs": true,
        "llamaMtpDeferTargetHNextn": true,
        "llamaMtpDraftDirectArgmaxIds": true,
        "llamaMtpDraftDirectArgmaxUnroll": 7,
        "llamaSpecVerifyBackendArgmaxIds": true,
        "llamaSyclMulMatIdRouteCache": true,
        "llamaSyclMulMatIdRouteCacheDeviceMap": null,
        "maxRunningSeqs": 1,
        "pipelineParallel": 1,
        "prefixCaching": false,
        "promptMode": "filled-long",
        "promptTokensRequested": 512,
        "serverLog": "/mnt/fast-ai/bench-results/gemma4-26b-a4b-q8/servers/gemma4-q8-gpu0-mulmatid-fast-q8reorder-ub768-fullconfirm-20260627T142318Z.server.log",
        "specDecoding": true,
        "specDraftModel": "/mnt/fast-ai/llm-models/gemma4-26b-a4b-it-q8-gguf/MTP/gemma-4-26B-A4B-it-Q4_0-MTP.gguf",
        "specDraftNMin": 3,
        "specDraftPMin": 0.1,
        "specDraftQuantization": "Q4_0 draft only; target/verifier remains UD-Q8_K_XL",
        "specMethod": "draft-mtp",
        "specNumTokens": 7,
        "summaryJson": "data/gemma4-q8-gpu0-mulmatid-fast-q8reorder-ub768-fullconfirm-20260627T142318Z/summary.json",
        "temperature": 0,
        "tensorParallel": 1,
        "tokSOutMaxSupport": 170.34240479485297,
        "tokSOutMeanSupport": 169.5501066933547,
        "tokSOutMedianSupport": 169.3663572172759,
        "tokSOutMinSupport": 168.93763184706893,
        "tokSOutStdevSupport": 0.4705756045157824,
        "tokSTotalMaxSupport": 147.6961021331938,
        "tokSTotalMeanSupport": 145.61193653627558,
        "tokSTotalMinSupport": 135.18178237607523,
        "urL0UseImmediateCommandlists": 1,
        "llamaSyclMulMatIdMultiTokenFast": true,
        "llamaSyclMulMatIdQ80Reorder": true,
        "llamaSyclMulMatIdQ8_0Reorder": true,
        "freshResponseHeadlineValid": false,
        "historyAccelerated": false,
        "headlineUse": "diagnostic-pre-final-gate",
        "freshResponseNgramValidated": false,
        "localmaxxingSubmissionAllowedUnderCurrentPolicy": false,
        "realisticSuiteGatePassed": false,
        "primaryMetricName": "diagnostic_pre_final_gate_not_headline",
        "realisticSuiteCachedTokensAllZero": false,
        "realisticSuiteId": "",
        "currentPolicyCorrectionDate": "2026-06-27",
        "currentPolicyCorrection": "2026-06-27 correction: diagnostic/pre-final-gate artifact only under the current policy. Do not submit, promote, or advertise this payload as realistic headline throughput unless replaced by a fixed realistic-suite run with each prompt once, cached_tokens=0 on every request, no warmed/reused history, and primaryMetricName=median_tok_s_1_100_after_ttft."
      },
      "engineName": "llama.cpp",
      "engineVersion": "c926ad098 local B70 SYCL/AOT Gemma patch stack + Q8_0 MoE-ID reorder verifier path; UBATCH_SIZE=768; n_min=3 p_min=0.10",
      "hardware": {
        "cpu": "AMD Ryzen Threadripper PRO 5955WX 16-Cores",
        "gpuCount": 1,
        "gpuName": "Intel Arc Pro B70",
        "hwClass": "DISCRETE_GPU",
        "os": "Ubuntu 24.04.4 LTS",
        "ramGb": 128,
        "vramGb": 32
      },
      "hfId": "unsloth/gemma-4-26B-A4B-it-GGUF",
      "modelRevision": "gemma-4-26B-A4B-it-UD-Q8_K_XL.gguf",
      "notes": "Gemma 4 26B A4B Q8/INT8-quality fresh-response single-B70 record. Target/verifier is Unsloth UD-Q8_K_XL GGUF; only the MTP draft is Q4_0. Headline uses row0 only because the benchmark prompt is repeated; rows 1-7 are support/stability only even though cached_tokens=0. Large chat canary passed 6144/6144 rows. This keeps the prior route-cache/fused-output-argmax/fused-selected-softmax/RMS-reuse recipe and adds the broad multi-token MoE-ID fast verifier path plus LLAMA_SYCL_MUL_MAT_ID_Q8_0_REORDER=1, which reorders Q8_0 expert slices per expert for the reorder MMVQ body. Fresh row0 improves the prior LocalMaxxing fresh headline cmqw1tgzx0366qr01g4lkv7f1 from 104.30919255569083 to 169.9489959621758 tok/s. Support mean is 169.5501066933547 tok/s. This is fresh-response speculative MTP, not warmed n-gram/history acceleration.\n\n2026-06-27 correction: diagnostic/pre-final-gate artifact only under the current policy. Do not submit, promote, or advertise this payload as realistic headline throughput unless replaced by a fixed realistic-suite run with each prompt once, cached_tokens=0 on every request, no warmed/reused history, and primaryMetricName=median_tok_s_1_100_after_ttft.",
      "outputTokens": 512,
      "promptTokens": 588,
      "quantization": "Q8_K_XL",
      "tokSOut": 169.9489959621758,
      "tokSTotal": 135.18178237607523,
      "ttftMs": 774.8240189976059
    }
  }
]
