Update model weights (v70 soup20, quick MTEB 63.97)

config.json

@@ -1,15 +1,20 @@
 {
+  "add_cross_attention": false,
   "architectures": [
     "BertModel"
   ],
   "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
   "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": null,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 32,
   "initializer_range": 0.02,
   "intermediate_size": 128,
+  "is_decoder": false,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
@@ -17,8 +22,8 @@
   "num_hidden_layers": 2,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
-  "transformers_version": "4.51.3",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.3.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522