sorted with python

results.py

@@ -39,10 +39,11 @@ TESTFULL_SPLIT = ["OpusparcusPC"]
 MODELS = [
     "Baichuan-text-embedding",
     "Cohere-embed-english-v3.0",
-    "Cohere-embed-multilingual-v3.0",
     "Cohere-embed-multilingual-light-v3.0",
+    "Cohere-embed-multilingual-v3.0",
     "DanskBERT",
-    "LaBSE",
+    "FollowIR-7B",
+    "GritLM-7B",
     "LASER2",
     "LLM2Vec-Llama-supervised",
     "LLM2Vec-Llama-unsupervised",
@@ -50,6 +51,7 @@ MODELS = [
     "LLM2Vec-Mistral-unsupervised",
     "LLM2Vec-Sheared-Llama-supervised",
     "LLM2Vec-Sheared-Llama-unsupervised",
+    "LaBSE",
     "OpenSearch-text-hybrid",
     "all-MiniLM-L12-v2",
     "all-MiniLM-L6-v2",
@@ -62,8 +64,7 @@ MODELS = [
     "bert-base-multilingual-uncased",
     "bert-base-swedish-cased",
     "bert-base-uncased",
-    "bge-base-en"
-    "bge-base-zh",
+    "bge-base-enbge-base-zh",
     "bge-base-zh-v1.5",
     "bge-large-en",
     "bge-large-en-v1.5",
@@ -100,21 +101,19 @@ MODELS = [
     "flaubert_base_cased",
     "flaubert_base_uncased",
     "flaubert_large_cased",
-    "FollowIR-7B",
     "gbert-base",
     "gbert-large",
     "gelectra-base",
     "gelectra-large",
     "glove.6B.300d",
-    "google-gecko.text-embedding-preview-0409",
     "google-gecko-256.text-embedding-preview-0409",
+    "google-gecko.text-embedding-preview-0409",
     "gottbert-base",
     "gte-Qwen1.5-7B-instruct",
     "gtr-t5-base",
     "gtr-t5-large",
     "gtr-t5-xl",
     "gtr-t5-xxl",
-    "GritLM-7B",
     "herbert-base-retrieval-v2",
     "instructor-base",
     "instructor-xl",
@@ -126,8 +125,8 @@ MODELS = [
     "mistral-7b-instruct-v0.2",
     "mistral-embed",
     "monobert-large-msmarco",
-    "monot5-base-msmarco-10k",
     "monot5-3b-msmarco-10k",
+    "monot5-base-msmarco-10k",
     "msmarco-bert-co-condensor",
     "multi-qa-MiniLM-L6-cos-v1",
     "multilingual-e5-base",
@@ -135,10 +134,10 @@ MODELS = [
     "multilingual-e5-small",
     "nb-bert-base",
     "nb-bert-large",
-    "nomic-embed-text-v1.5-64",
     "nomic-embed-text-v1.5-128",
     "nomic-embed-text-v1.5-256",
     "nomic-embed-text-v1.5-512",
+    "nomic-embed-text-v1.5-64",
     "norbert3-base",
     "norbert3-large",
     "paraphrase-multilingual-MiniLM-L12-v2",
@@ -164,14 +163,14 @@ MODELS = [
     "text-embedding-3-small",
     "text-embedding-ada-002",
     "text-search-ada-001",
-    "text-search-ada-doc-001",    
+    "text-search-ada-doc-001",
     "text-search-babbage-001",
     "text-search-curie-001",
     "text-search-davinci-001",
     "text-similarity-ada-001",
     "text-similarity-babbage-001",
     "text-similarity-curie-001",
-    "text-similarity-davinci-001",    
+    "text-similarity-davinci-001",
     "text2vec-base-chinese",
     "text2vec-base-multilingual",
     "text2vec-large-chinese",
@@ -184,11 +183,11 @@ MODELS = [
     "use-cmlm-multilingual",
     "voyage-2",
     "voyage-code-2",
-    "voyage-law-2",    
+    "voyage-law-2",
     "voyage-lite-01-instruct",
     "voyage-lite-02-instruct",
     "xlm-roberta-base",
-    "xlm-roberta-large",
+    "xlm-roberta-large,
 ]