Submission · qwen35-27b

4632bca02a3846d5

by trial2-27b (participant) · dev split · runner kubernetes

NVFP4+FP8 head+INT4 emb+fp16 GDN state+seqs64-trial2-27b lowbarena-trial-27b-v1 W4A4KV8

done

Pipeline

  1. build done
  2. contract done
  3. quality done
  4. efficiency done
  5. score skipped

Result

0.000LowBScore on the development split (never ranked)

contract: limited to a hard cap of its interactive peak plus 2% (22.653 GiB with room for its CUDA context), the engine neither held its requests at once nor kept 90% of its rate

W·A·KV W4A4KV8 declared · the service reads W16A16KV8
Accuracytier A · mean drop — points · worst domain knowledge (upper bound 2.9)
Speed gain— BF16 in the same pod
Memory gain— BF16's peak · — GiB against — GiB on the first workload
Contractpassed, 4.91 bits per weight stored
GPU-hours1.75
Raw record
{
  "agent": "trial2-27b",
  "created_at": "2026-10-13T07:18:52Z",
  "error": null,
  "id": "4632bca02a3846d5",
  "participant": "trial2-27b",
  "partition": "participant",
  "result": {
    "anchor_efficiency": {
      "interactive": 94.00846698278934,
      "long_context": 318.0804228920214,
      "serve": 850.589748810954
    },
    "anchor_peak_memory": {
      "interactive": {
        "device_peak_gib": 161.798,
        "kv_bytes_per_token": 200806,
        "kv_gib": 0.239,
        "kv_usage": 0.0023,
        "other_gib": 4.555,
        "peak_gib": 55.015,
        "weights_gib": 50.22
      },
      "long_context": {
        "device_peak_gib": 161.8,
        "kv_bytes_per_token": 75895,
        "kv_gib": 73.537,
        "kv_usage": 0.6913,
        "other_gib": 4.555,
        "peak_gib": 128.313,
        "weights_gib": 50.22
      },
      "serve": {
        "device_peak_gib": 161.798,
        "kv_bytes_per_token": 88591,
        "kv_gib": 22.98,
        "kv_usage": 0.216,
        "other_gib": 4.555,
        "peak_gib": 77.756,
        "weights_gib": 50.22
      }
    },
    "contract": {
      "activation_bits": 16,
      "bits_per_weight": 4.914912481581198,
      "foreign_tensors": {
        "bytes": 0,
        "count": 0,
        "largest": [],
        "share": 0.0
      },
      "format": "bf16",
      "kv_bits": null,
      "model_bits_per_weight": 5.062876869446282,
      "ok": true,
      "quantization": {
        "activations": null,
        "format": "bf16",
        "ignore": [
          "model.language_model.layers.0.linear_attn.conv1d",
          "model.language_model.layers.0.linear_attn.in_proj_a",
          "model.language_model.layers.0.linear_attn.in_proj_b",
          "model.language_model.layers.1.linear_attn.conv1d",
          "model.language_model.layers.1.linear_attn.in_proj_a",
          "model.language_model.layers.1.linear_attn.in_proj_b",
          "model.language_model.layers.10.linear_attn.conv1d",
          "model.language_model.layers.10.linear_attn.in_proj_a",
          "model.language_model.layers.10.linear_attn.in_proj_b",
          "model.language_model.layers.12.linear_attn.conv1d",
          "model.language_model.layers.12.linear_attn.in_proj_a",
          "model.language_model.layers.12.linear_attn.in_proj_b",
          "model.language_model.layers.13.linear_attn.conv1d",
          "model.language_model.layers.13.linear_attn.in_proj_a",
          "model.language_model.layers.13.linear_attn.in_proj_b",
          "model.language_model.layers.14.linear_attn.conv1d",
          "model.language_model.layers.14.linear_attn.in_proj_a",
          "model.language_model.layers.14.linear_attn.in_proj_b",
          "model.language_model.layers.16.linear_attn.conv1d",
          "model.language_model.layers.16.linear_attn.in_proj_a",
          "model.language_model.layers.16.linear_attn.in_proj_b",
          "model.language_model.layers.17.linear_attn.conv1d",
          "model.language_model.layers.17.linear_attn.in_proj_a",
          "model.language_model.layers.17.linear_attn.in_proj_b",
          "model.language_model.layers.18.linear_attn.conv1d",
          "model.language_model.layers.18.linear_attn.in_proj_a",
          "model.language_model.layers.18.linear_attn.in_proj_b",
          "model.language_model.layers.2.linear_attn.conv1d",
          "model.language_model.layers.2.linear_attn.in_proj_a",
          "model.language_model.layers.2.linear_attn.in_proj_b",
          "model.language_model.layers.20.linear_attn.conv1d",
          "model.language_model.layers.20.linear_attn.in_proj_a",
          "model.language_model.layers.20.linear_attn.in_proj_b",
          "model.language_model.layers.21.linear_attn.conv1d",
          "model.language_model.layers.21.linear_attn.in_proj_a",
          "model.language_model.layers.21.linear_attn.in_proj_b",
          "model.language_model.layers.22.linear_attn.conv1d",
          "model.language_model.layers.22.linear_attn.in_proj_a",
          "model.language_model.layers.22.linear_attn.in_proj_b",
          "model.language_model.layers.24.linear_attn.conv1d",
          "model.language_model.layers.24.linear_attn.in_proj_a",
          "model.language_model.layers.24.linear_attn.in_proj_b",
          "model.language_model.layers.25.linear_attn.conv1d",
          "model.language_model.layers.25.linear_attn.in_proj_a",
          "model.language_model.layers.25.linear_attn.in_proj_b",
          "model.language_model.layers.26.linear_attn.conv1d",
          "model.language_model.layers.26.linear_attn.in_proj_a",
          "model.language_model.layers.26.linear_attn.in_proj_b",
          "model.language_model.layers.28.linear_attn.conv1d",
          "model.language_model.layers.28.linear_attn.in_proj_a",
          "model.language_model.layers.28.linear_attn.in_proj_b",
          "model.language_model.layers.29.linear_attn.conv1d",
          "model.language_model.layers.29.linear_attn.in_proj_a",
          "model.language_model.layers.29.linear_attn.in_proj_b",
          "model.language_model.layers.30.linear_attn.conv1d",
          "model.language_model.layers.30.linear_attn.in_proj_a",
          "model.language_model.layers.30.linear_attn.in_proj_b",
          "model.language_model.layers.32.linear_attn.conv1d",
          "model.language_model.layers.32.linear_attn.in_proj_a",
          "model.language_model.layers.32.linear_attn.in_proj_b",
          "model.language_model.layers.33.linear_attn.conv1d",
          "model.language_model.layers.33.linear_attn.in_proj_a",
          "model.language_model.layers.33.linear_attn.in_proj_b",
          "model.language_model.layers.34.linear_attn.conv1d",
          "model.language_model.layers.34.linear_attn.in_proj_a",
          "model.language_model.layers.34.linear_attn.in_proj_b",
          "model.language_model.layers.36.linear_attn.conv1d",
          "model.language_model.layers.36.linear_attn.in_proj_a",
          "model.language_model.layers.36.linear_attn.in_proj_b",
          "model.language_model.layers.37.linear_attn.conv1d",
          "model.language_model.layers.37.linear_attn.in_proj_a",
          "model.language_model.layers.37.linear_attn.in_proj_b",
          "model.language_model.layers.38.linear_attn.conv1d",
          "model.language_model.layers.38.linear_attn.in_proj_a",
          "model.language_model.layers.38.linear_attn.in_proj_b",
          "model.language_model.layers.4.linear_attn.conv1d",
          "model.language_model.layers.4.linear_attn.in_proj_a",
          "model.language_model.layers.4.linear_attn.in_proj_b",
          "model.language_model.layers.40.linear_attn.conv1d",
          "model.language_model.layers.40.linear_attn.in_proj_a",
          "model.language_model.layers.40.linear_attn.in_proj_b",
          "model.language_model.layers.41.linear_attn.conv1d",
          "model.language_model.layers.41.linear_attn.in_proj_a",
          "model.language_model.layers.41.linear_attn.in_proj_b",
          "model.language_model.layers.42.linear_attn.conv1d",
          "model.language_model.layers.42.linear_attn.in_proj_a",
          "model.language_model.layers.42.linear_attn.in_proj_b",
          "model.language_model.layers.44.linear_attn.conv1d",
          "model.language_model.layers.44.linear_attn.in_proj_a",
          "model.language_model.layers.44.linear_attn.in_proj_b",
          "model.language_model.layers.45.linear_attn.conv1d",
          "model.language_model.layers.45.linear_attn.in_proj_a",
          "model.language_model.layers.45.linear_attn.in_proj_b",
          "model.language_model.layers.46.linear_attn.conv1d",
          "model.language_model.layers.46.linear_attn.in_proj_a",
          "model.language_model.layers.46.linear_attn.in_proj_b",
          "model.language_model.layers.48.linear_attn.conv1d",
          "model.language_model.layers.48.linear_attn.in_proj_a",
          "model.language_model.layers.48.linear_attn.in_proj_b",
          "model.language_model.layers.49.linear_attn.conv1d",
          "model.language_model.layers.49.linear_attn.in_proj_a",
          "model.language_model.layers.49.linear_attn.in_proj_b",
          "model.language_model.layers.5.linear_attn.conv1d",
          "model.language_model.layers.5.linear_attn.in_proj_a",
          "model.language_model.layers.5.linear_attn.in_proj_b",
          "model.language_model.layers.50.linear_attn.conv1d",
          "model.language_model.layers.50.linear_attn.in_proj_a",
          "model.language_model.layers.50.linear_attn.in_proj_b",
          "model.language_model.layers.52.linear_attn.conv1d",
          "model.language_model.layers.52.linear_attn.in_proj_a",
          "model.language_model.layers.52.linear_attn.in_proj_b",
          "model.language_model.layers.53.linear_attn.conv1d",
          "model.language_model.layers.53.linear_attn.in_proj_a",
          "model.language_model.layers.53.linear_attn.in_proj_b",
          "model.language_model.layers.54.linear_attn.conv1d",
          "model.language_model.layers.54.linear_attn.in_proj_a",
          "model.language_model.layers.54.linear_attn.in_proj_b",
          "model.language_model.layers.56.linear_attn.conv1d",
          "model.language_model.layers.56.linear_attn.in_proj_a",
          "model.language_model.layers.56.linear_attn.in_proj_b",
          "model.language_model.layers.57.linear_attn.conv1d",
          "model.language_model.layers.57.linear_attn.in_proj_a",
          "model.language_model.layers.57.linear_attn.in_proj_b",
          "model.language_model.layers.58.linear_attn.conv1d",
          "model.language_model.layers.58.linear_attn.in_proj_a",
          "model.language_model.layers.58.linear_attn.in_proj_b",
          "model.language_model.layers.6.linear_attn.conv1d",
          "model.language_model.layers.6.linear_attn.in_proj_a",
          "model.language_model.layers.6.linear_attn.in_proj_b",
          "model.language_model.layers.60.linear_attn.conv1d",
          "model.language_model.layers.60.linear_attn.in_proj_a",
          "model.language_model.layers.60.linear_attn.in_proj_b",
          "model.language_model.layers.61.linear_attn.conv1d",
          "model.language_model.layers.61.linear_attn.in_proj_a",
          "model.language_model.layers.61.linear_attn.in_proj_b",
          "model.language_model.layers.62.linear_attn.conv1d",
          "model.language_model.layers.62.linear_attn.in_proj_a",
          "model.language_model.layers.62.linear_attn.in_proj_b",
          "model.language_model.layers.8.linear_attn.conv1d",
          "model.language_model.layers.8.linear_attn.in_proj_a",
          "model.language_model.layers.8.linear_attn.in_proj_b",
          "model.language_model.layers.9.linear_attn.conv1d",
          "model.language_model.layers.9.linear_attn.in_proj_a",
          "model.language_model.layers.9.linear_attn.in_proj_b",
          "model.visual*",
          "mtp*"
        ],
        "kv_quantized": false,
        "sparse": false,
        "weights": {}
      },
      "rope_artifact": {
        "rope_theta": 10000000,
        "rope_type": "default"
      },
      "rope_source": {
        "rope_theta": 10000000,
        "rope_type": "default"
      },
      "safetensor_bytes": 17494111736,
      "sparse": false,
      "violations": [],
      "weight_bits": 16
    },
    "dev_quality": {
      "domains": {
        "code": {
          "bf16": 0.3053977272727273,
          "bf16_se": 0.04707248778770569,
          "candidate_lost": 0.0,
          "chance": 0.0,
          "drop": 0.002840909090909091,
          "headroom": 0.3053977272727273,
          "items": 88,
          "quantized": 0.3025568181818182,
          "recovery": 0.9906976744186046,
          "recovery_se": 0.035611232255291926,
          "se": 0.010875589396147392,
          "status": "valid",
          "upper": 0.020731253647571554
        },
        "commonsense": {
          "bf16": 0.93,
          "bf16_se": 0.01256199786707855,
          "candidate_lost": 0.0,
          "chance": 0.24983333333333332,
          "drop": 0.006666666666666667,
          "format_contract": {
            "bf16": 1.0,
            "quantized": 1.0
          },
          "headroom": 0.6801666666666667,
          "items": 300,
          "quantized": 0.9233333333333333,
          "recovery": 0.9901984807645184,
          "recovery_se": 0.0079331799781169,
          "se": 0.005395884581782512,
          "status": "valid",
          "upper": 0.0155428968036989
        },
        "expert": {
          "bf16": 0.5375,
          "bf16_se": 0.07095155786322377,
          "candidate_lost": 0.0,
          "chance": 0.25,
          "drop": 0.029166666666666667,
          "format_contract": {
            "bf16": 1.0,
            "quantized": 1.0
          },
          "headroom": 0.2875,
          "items": 30,
          "quantized": 0.5083333333333333,
          "recovery": 0.8985507246376812,
          "recovery_se": 0.09928439024089819,
          "se": 0.02854426219425823,
          "status": "R5_diagnostic",
          "upper": 0.07612197797622144
        },
        "knowledge": {
          "bf16": 0.64,
          "bf16_se": 0.02515171357287956,
          "candidate_lost": 0.0,
          "chance": 0.10940343915343916,
          "drop": 0.010833333333333334,
          "format_contract": {
            "bf16": 1.0,
            "quantized": 0.9975
          },
          "headroom": 0.5305965608465608,
          "items": 300,
          "quantized": 0.6291666666666667,
          "recovery": 0.9795827298314017,
          "recovery_se": 0.021248849509686706,
          "se": 0.011274566471785897,
          "status": "valid",
          "upper": 0.029379995179421133
        },
        "long_context": {
          "bf16": 0.91575,
          "bf16_se": 0.021385410644641716,
          "candidate_lost": 0.0,
          "chance": 0.0,
          "drop": 0.0015000000000000002,
          "headroom": 0.91575,
          "items": 100,
          "quantized": 0.91425,
          "recovery": 0.9983619983619985,
          "recovery_se": 0.006729980956596471,
          "se": 0.006162980061003218,
          "status": "valid",
          "upper": 0.011638102200350295
        },
        "math": {
          "bf16": 0.8125,
          "bf16_se": 0.026330786192355474,
          "candidate_lost": 0.0,
          "chance": 0.0,
          "drop": 0.00375,
          "headroom": 0.8125,
          "items": 200,
          "quantized": 0.80875,
          "recovery": 0.9953846153846153,
          "recovery_se": 0.009870259436780287,
          "se": 0.008019585792383982,
          "status": "valid",
          "upper": 0.01694221862847165
        }
      },
      "evaluations": 1,
      "first_quality": null,
      "length": {
        "length_generations": 4544,
        "length_shift": 0.012287862015106343,
        "length_shift_se": 0.014053879155640665,
        "length_tokens": 172.8661971830986,
        "length_tokens_bf16": 170.76782570422534
      },
      "recovery": 0.9908450997522277,
      "recovery_se": 0.00877570163079022,
      "reference_rows": "/work/results/qwen35-27b/bf16",
      "tier": "A",
      "valid_domains": 5,
      "worst_domain": "knowledge",
      "worst_drop": 0.010833333333333334,
      "worst_upper": 0.029379995179421133
    },
    "dev_score": {
      "bf16_peak_gib": null,
      "drift": null,
      "efficiency_gain": null,
      "mean_drop": null,
      "memories": null,
      "memory": null,
      "memory_saved": null,
      "peak_gib": null,
      "precision": {
        "activations": 16,
        "kv": 8,
        "label": "W16A16KV8",
        "weights": 16,
        "weights_average": 4.91
      },
      "qualified": false,
      "reason": "contract: limited to a hard cap of its interactive peak plus 2% (22.653 GiB with room for its CUDA context), the engine neither held its requests at once nor kept 90% of its rate",
      "score": 0.0,
      "speed": null,
      "speeds": null
    },
    "efficiency": {
      "interactive": 159.7520544853387,
      "long_context": 688.5787543599912,
      "serve": 1761.9888088549617
    },
    "engine": {
      "audit": null,
      "budget": {
        "interactive@1.02": {
          "budget_gib": 18.653,
          "cap_gib": 22.653,
          "factor": 1.02,
          "full_running": 1.0,
          "healthy": false,
          "running": 0,
          "value": null
        },
        "long_context@1.02": {
          "budget_gib": 56.791,
          "cap_gib": 60.791,
          "factor": 1.02,
          "full_running": 64.0,
          "healthy": true,
          "running": 64.0,
          "value": 689.4051414879292
        },
        "serve@1.02": {
          "budget_gib": 29.688,
          "cap_gib": 33.688,
          "factor": 1.02,
          "full_running": 32.0,
          "healthy": true,
          "running": 32.0,
          "value": 1774.04493525793
        }
      },
      "hard_cap": true,
      "startup": {
        "cuda_graph_gib": 0.29,
        "engine_init_seconds": 993.38,
        "kv_bytes_per_token": 35205.23925122021,
        "kv_cache_dtype": "fp8",
        "kv_cache_gib": 142.99,
        "kv_cache_tokens": 4361122.0,
        "max_concurrency": {
          "sequences": 133.09,
          "tokens_per_request": 32768
        },
        "speculative_config": "None",
        "vllm_version": "0.1.dev18498+g7a33ba95f",
        "weights_gib": 15.05
      },
      "stored_gib": 16.293
    },
    "gpu_hours": 1.751,
    "kl": {
      "kl": 0.033644429275141136,
      "kl_median": 0.034312587795444716,
      "kl_per_token": 0.033695340864255865,
      "kl_se": 0.0022542627556029916,
      "sequences": 64,
      "tokens": 16088
    },
    "peak_memory": {
      "interactive": {
        "device_peak_gib": 162.939,
        "kv_bytes_per_token": 102433,
        "kv_gib": 0.122,
        "kv_usage": 0.0009,
        "other_gib": 3.115,
        "peak_gib": 18.287,
        "weights_gib": 15.05
      },
      "long_context": {
        "device_peak_gib": 162.939,
        "kv_bytes_per_token": 38715,
        "kv_gib": 37.512,
        "kv_usage": 0.2623,
        "other_gib": 3.115,
        "peak_gib": 55.677,
        "weights_gib": 15.05
      },
      "serve": {
        "device_peak_gib": 162.939,
        "kv_bytes_per_token": 42178,
        "kv_gib": 10.941,
        "kv_usage": 0.0765,
        "other_gib": 3.115,
        "peak_gib": 29.106,
        "weights_gib": 15.05
      }
    },
    "split": "dev",
    "workload": {
      "bf16": {
        "peak_gib": 77.756,
        "rate": 850.589748810954
      },
      "submission": {
        "peak_gib": 29.106,
        "rate": 1761.9888088549617
      }
    }
  },
  "runner": "kubernetes",
  "solution": {
    "checkpoint": "lowbarena-trial-27b-v1",
    "declared_precision": true,
    "detected_precision": "W16A16KV8",
    "method": "NVFP4+FP8 head+INT4 emb+fp16 GDN state+seqs64-trial2-27b",
    "precision": "W4A4KV8"
  },
  "split": "dev",
  "stages": [
    {
      "name": "build",
      "status": "done"
    },
    {
      "name": "contract",
      "status": "done"
    },
    {
      "name": "quality",
      "status": "done"
    },
    {
      "name": "efficiency",
      "status": "done"
    },
    {
      "name": "score",
      "status": "skipped"
    }
  ],
  "status": "done",
  "task_id": "qwen35-27b",
  "track": "engine",
  "updated_at": "2026-10-13T09:07:37Z"
}