Add measured original small standard benchmark comparisons
Browse files- benchmarks/EVALUATION.md +14 -14
- benchmarks/original-standard.json +1051 -0
- scores.json +832 -26
benchmarks/EVALUATION.md
CHANGED
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@@ -118,20 +118,20 @@ MTEB 2.21.0, FP32, batch size 8, seed 20260918. Eleven tasks and twelve split ro
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| Task / split | Main metric | Original small | Current Nano |
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| --- | ---: | ---: | ---: |
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| SICK-R / test | cosine_spearman |
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| STSBenchmark / test | cosine_spearman |
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| ArguAna / test | ndcg_at_10 |
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| TwentyNewsgroupsClustering.v2 / test | v_measure |
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| MTOPDomainClassification / validation | accuracy |
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| MTOPDomainClassification / test | accuracy |
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| OxfordPets / test | accuracy |
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| TinyImageNetClustering / valid | nmi |
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| OxfordPetsZeroShot / test | accuracy |
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| CREMA_D / train | accuracy |
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| CREMA_DClustering / train | v_measure |
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| SpeechCommandsZeroshotv0.02 / test | accuracy |
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## Release history and limitations
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| Task / split | Main metric | Original small | Current Nano |
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| --- | ---: | ---: | ---: |
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+
| SICK-R / test | cosine_spearman | 71.3902 | **80.5317** |
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| STSBenchmark / test | cosine_spearman | 77.2987 | **87.0782** |
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| ArguAna / test | ndcg_at_10 | 32.8890 | **59.2460** |
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| TwentyNewsgroupsClustering.v2 / test | v_measure | 44.8401 | **50.8726** |
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| MTOPDomainClassification / validation | accuracy | 85.4362 | **94.7651** |
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| MTOPDomainClassification / test | accuracy | 84.5645 | **94.9179** |
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| OxfordPets / test | accuracy | 41.8479 | **91.2674** |
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| TinyImageNetClustering / valid | nmi | 46.2849 | **61.6919** |
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| OxfordPetsZeroShot / test | accuracy | 16.4077 | 8.0131 |
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| CREMA_D / train | accuracy | 29.9520 | 29.7637 |
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| CREMA_DClustering / train | v_measure | 2.4058 | 2.3602 |
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| SpeechCommandsZeroshotv0.02 / test | accuracy | 5.5228 | **14.1139** |
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Original small uses its native 128-token limit; current Nano uses 512. All rows use the same pinned task revisions, official probes, sampling and metrics. Bold marks an unrounded improvement over the original comparator; lower values remain visible. MTOP validation is descriptive. [Full original results and identities](original-standard.json), including every repeated-probe statistic, accompany [current results](../scores.json).
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## Release history and limitations
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benchmarks/original-standard.json
ADDED
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@@ -0,0 +1,1051 @@
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scores.json
CHANGED
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@@ -493,7 +493,9 @@
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| 493 |
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| 499 |
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@@ -504,7 +506,7 @@
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| 504 |
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| 505 |
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| 507 |
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| 508 |
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@@ -530,7 +532,7 @@
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@@ -549,7 +551,30 @@
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| 553 |
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@@ -570,7 +595,7 @@
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| 571 |
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@@ -589,7 +614,30 @@
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| 591 |
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| 593 |
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|
@@ -611,7 +659,7 @@
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| 611 |
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@@ -770,7 +818,170 @@
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| 770 |
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|
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| 774 |
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|
| 775 |
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| 776 |
{
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|
@@ -795,7 +1006,7 @@
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| 795 |
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| 796 |
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| 797 |
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|
@@ -838,7 +1049,54 @@
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| 838 |
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| 839 |
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| 840 |
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| 842 |
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| 843 |
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| 844 |
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|
@@ -862,7 +1120,7 @@
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| 862 |
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| 863 |
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@@ -994,7 +1252,143 @@
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"metrics": {
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"nano": {
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"scores": {
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"nano": 0.9126737530662306,
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"metrics": {
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"nano": {
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"mteb_version": "2.21.0"
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{
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"scores": {
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"nano": 0.6169193395626786,
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"metrics": {
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"nano": {
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"mteb_version": "2.21.0"
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"scores": {
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"nano": 0.08013082583810302,
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"metrics": {
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"nano": {
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"mteb_version": "2.21.0"
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{
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"scores": {
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"nano": 0.29763670140167686,
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"metrics": {
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"nano": {
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"mteb_version": "2.21.0"
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| 1434 |
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| 1435 |
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{
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@@ -1453,7 +2188,7 @@
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| 1454 |
"scores": {
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| 1455 |
"nano": 0.023601715918443712,
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| 1456 |
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"small":
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| 1457 |
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| 1458 |
"metrics": {
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| 1459 |
"nano": {
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@@ -1496,7 +2231,54 @@
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| 1497 |
"mteb_version": "2.21.0"
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{
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@@ -1519,7 +2301,7 @@
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},
|
| 1520 |
"scores": {
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| 1521 |
"nano": 0.1411389297987236,
|
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| 1523 |
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| 1524 |
"metrics": {
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"nano": {
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@@ -1539,7 +2321,31 @@
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|
| 1540 |
"mteb_version": "2.21.0"
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| 1541 |
},
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| 1543 |
}
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| 1544 |
}
|
| 1545 |
],
|
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| 493 |
"repo_id": "llm-semantic-router/multi-modal-embed-small",
|
| 494 |
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| 495 |
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|
| 496 |
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"status": "evaluated_all_11_selected_tasks",
|
| 497 |
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"max_text_tokens": 128,
|
| 498 |
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"inference_parameters": 133759488
|
| 499 |
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|
| 500 |
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|
| 501 |
"protocol": {
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| 506 |
"encoder_parameters_frozen": true,
|
| 507 |
"classification": "Official task-specific frozen-embedding probes or fixed-label zero-shot classification.",
|
| 508 |
"sampling": "Official task subsampling and repeated-probe protocols are preserved.",
|
| 509 |
+
"text": "Each encoder uses its native preprocessing and context limit without added task instructions. Original small: 128 tokens; current Nano: 512 tokens.",
|
| 510 |
"audio": "Mono 16 kHz, first 30 seconds, official MTEB audio preprocessing.",
|
| 511 |
"score_scale": "Metrics retain their native MTEB scale; the model card multiplies primary scores by 100.",
|
| 512 |
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|
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| 532 |
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|
| 533 |
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| 534 |
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| 535 |
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| 536 |
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| 537 |
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| 538 |
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| 551 |
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| 552 |
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| 553 |
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| 554 |
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| 555 |
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| 556 |
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| 557 |
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| 558 |
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| 559 |
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| 560 |
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| 562 |
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| 563 |
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"main_score": 0.7139020320965759,
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| 564 |
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"hf_subset": "default",
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| 565 |
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"languages": [
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| 566 |
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"eng-Latn"
|
| 567 |
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],
|
| 568 |
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"mteb_version": "2.21.0"
|
| 569 |
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}
|
| 570 |
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| 571 |
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"measurement_by_model": {
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| 572 |
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| 573 |
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| 574 |
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| 575 |
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| 576 |
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"kind": "direct_frozen_encoder_evaluation"
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| 577 |
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}
|
| 578 |
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| 579 |
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| 580 |
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| 595 |
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| 596 |
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| 597 |
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| 600 |
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| 614 |
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| 616 |
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| 617 |
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| 619 |
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| 621 |
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| 622 |
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| 623 |
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