{
  "run_id": "2026-10-09-quick-card-prompts-249a86",
  "suite": "embeddings",
  "tier": "quick",
  "suite_hash": "4c216f567e7755fcba7cd61c6ffe3e6ea2c399c52c3d2a2a6aedefb20066cf05",
  "subject": "lfm2.5-embedding-350m/hf-f35ae2c/bf16-liquidai/sentence-transformers-torch-mps-st5.1.1-tf4.56.2-torch2.14.1",
  "mode": "native",
  "profile": "card-prompts",
  "status": "complete",
  "label": null,
  "items": {
    "planned": 66939,
    "attempted": 2092,
    "succeeded": 2092,
    "failed": 0,
    "failed_by_status": {}
  },
  "metrics": {
    "mteb": "2.22.5",
    "tasks": [
      "NanoArguAnaRetrieval",
      "NanoClimateFeverRetrieval",
      "NanoDBPediaRetrieval",
      "NanoFEVERRetrieval",
      "NanoFiQA2018Retrieval",
      "NanoHotpotQARetrieval",
      "NanoMSMARCORetrieval",
      "NanoNFCorpusRetrieval",
      "NanoNQRetrieval",
      "NanoQuoraRetrieval",
      "NanoSCIDOCSRetrieval",
      "NanoSciFactRetrieval",
      "NanoTouche2020Retrieval",
      "STSBenchmark",
      "Banking77Classification"
    ],
    "by_dim": {
      "1024": {
        "tasks": {
          "NanoArguAnaRetrieval": {
            "main_score": 0.50399,
            "revision": "63ac9f026e8f6b85dc0622f3d630ed7a1758e9ec"
          },
          "NanoClimateFeverRetrieval": {
            "main_score": 0.4507,
            "revision": "ccb5552bc17e87afe0f9479fb4346898213a71db"
          },
          "NanoDBPediaRetrieval": {
            "main_score": 0.65011,
            "revision": "2d088f80d7a640eac0be5c66408d68c3f782baa1"
          },
          "NanoFEVERRetrieval": {
            "main_score": 0.95311,
            "revision": "a6490dfeed0f13c2a052e39c6ddaeb6086afd4a8"
          },
          "NanoFiQA2018Retrieval": {
            "main_score": 0.5573,
            "revision": "ede84da4793cd2d4e61bba0dd08fc58de90f3681"
          },
          "NanoHotpotQARetrieval": {
            "main_score": 0.85234,
            "revision": "a38a2615f29adba8b47a42905031aa9c137d8fae"
          },
          "NanoMSMARCORetrieval": {
            "main_score": 0.64114,
            "revision": "5a5aa0c3df65d6883d85c8f5cdc88e679633595e"
          },
          "NanoNFCorpusRetrieval": {
            "main_score": 0.36928,
            "revision": "2eec9d63140fb9af7c75ad0fdbf6350aaf20e94e"
          },
          "NanoNQRetrieval": {
            "main_score": 0.72412,
            "revision": "e3973b405feb9e94d07fd971d690d24d7f45264a"
          },
          "NanoQuoraRetrieval": {
            "main_score": 0.89559,
            "revision": "3ee153e5710da83a7f35df0cb1db4a0ad036072a"
          },
          "NanoSCIDOCSRetrieval": {
            "main_score": 0.39124,
            "revision": "cf39b8741a6f2e984d0b8f4796b2dd5bb65390f9"
          },
          "NanoSciFactRetrieval": {
            "main_score": 0.74986,
            "revision": "8c5f7bbe90bb865f46c67710221afa7d9096251b"
          },
          "NanoTouche2020Retrieval": {
            "main_score": 0.54211,
            "revision": "ff81c0caff8b6febe1495eae9f2ca3eddad074b8"
          },
          "STSBenchmark": {
            "main_score": 0.801105,
            "revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831"
          },
          "Banking77Classification": {
            "main_score": 0.829091,
            "revision": "0fd18e25b25c072e09e0d92ab615fda904d66300"
          }
        },
        "mean_main_score": 0.660739,
        "fidelity": {
          "n": 66939,
          "mean_cosine": 0.999946,
          "p1_cosine": 0.999901,
          "min_cosine": 0.999468,
          "top10_overlap": 0.98095,
          "queries": 649,
          "documents": 20000,
          "verdict": "lossless"
        }
      }
    }
  },
  "throughput": {
    "texts": 66939,
    "tokens": 9883483,
    "batches": 2092,
    "texts_per_s": 41.861814,
    "tokens_per_s": 6180.85909,
    "engine_tokens_per_s": 6203.022307,
    "batch_latency_ms": {
      "p50": 593.100417,
      "p95": 1893.078458
    },
    "note": "batches of 32 texts in descending length order, one request at a time; wall time includes HTTP and base64"
  },
  "notes": [
    "dimensions below 768 are the same vectors truncated and re-normalized (Matryoshka); fidelity compares each dimension with the reference at the same dimension"
  ],
  "latency_ms": {
    "p50": 593.100417,
    "p95": 1893.078458,
    "p99": 1943.575291,
    "note": "successful requests, nearest rank, measured from America/Chicago"
  },
  "usage": {
    "input_tokens": 9883483,
    "output_tokens": 0,
    "cost_usd": 0
  }
}