Add files using upload-large-folder tool

README.md

@@ -73,8 +73,9 @@ vectors = F.normalize((hidden * mask).sum(1) / mask.sum(1), dim=-1)
 
 ## Training and data receipts
 
-Full-backbone symmetric in-batch InfoNCE training used 24,626 language-balanced pairs,
-two epochs, batch size 32, learning rate 2e-5, temperature 0.05, and seed 17. The
+Full-backbone symmetric in-batch InfoNCE training used 24,626
+language-balanced pairs selected from the 42,626-row source training
+split, two epochs, batch size 32, learning rate 2e-5, temperature 0.05, and seed 17. The
 training report records the NVIDIA RTX A6000 runtime and validation history.
 
 - `train`: 42,626 rows, SHA-256 `426ebfaad34b14d7627ba6e668ae36e08e548c9d057b0edc208bcfa6fe527629`

artifact_manifest.json

@@ -14,8 +14,8 @@
       "sha256": "0e920ae71b97a4e96633c212099b9df56f3fba4de2535d13f51a8dbf4595cf0a"
     },
     "README.md": {
-      "bytes": 4959,
-      "sha256": "655c8b8a49d9099a5338f50c48639fc1176f24e576784b3f3d25adfe701a5149"
+      "bytes": 5010,
+      "sha256": "1ec64135a153ff681a4a809351d0819f695f5e2a05cee4b0a311b25a4d742452"
     },
     "benchmarks/jina-code-calibrated-4k.json": {
       "bytes": 5151,
@@ -38,8 +38,8 @@
       "sha256": "d62f44c1a8514dccf749630b9b4ba2da240588c2eae6af93b1816003a29e025d"
     },
     "benchmarks/lfm25-230m-gptq-mxfp8-vs-bf16-bootstrap.json": {
-      "bytes": 335,
-      "sha256": "621a083593be9ac5a0c96d31ecd27d4e8f8143b83a4278f97be823e068c8d422"
+      "bytes": 669,
+      "sha256": "41792201ed7898ff2e2cc361316e959f6d11f0c664e0a4ca12bb219a6a19387a"
     },
     "benchmarks/lfm25-230m-rtn-mxfp4-4k.json": {
       "bytes": 5588,
@@ -99,5 +99,5 @@
     }
   },
   "schema_version": 1,
-  "total_bytes": 464216410
+  "total_bytes": 464216795
 }

benchmarks/lfm25-230m-gptq-mxfp8-vs-bf16-bootstrap.json

@@ -1,11 +1,15 @@
 {
   "bootstrap_samples": 10000,
+  "candidate_embeddings": "lfm25-230m-gptq-mxfp8-4k-embeddings.npz",
+  "candidate_embeddings_sha256": "e6886573caf693e3a6b002ccd1933a054d24a22b54dd4913647dee7d566b7c19",
   "candidate_mrr": 0.39336530977743367,
   "difference_ci_95_lower": -0.004237095202471089,
   "difference_ci_95_upper": -0.0009771653320113183,
   "mrr_difference": -0.0026152420061133245,
   "pairs": 6995,
   "probability_difference_le_zero": 0.9991,
+  "reference_embeddings": "lfm25-230m-bf16-4k-embeddings.npz",
+  "reference_embeddings_sha256": "49758382ac6c95350c74070f92dc2aa86b6738fc2f53914a54372624a6163c91",
   "reference_mrr": 0.39598055178354696,
   "seed": 17
 }