Add models

results.py

@@ -47,11 +47,13 @@ TEST_AVG_SPLIT = {
 MODELS = [
     "Baichuan-text-embedding",
     "Cohere-embed-english-v3.0",
+    "Cohere-embed-english-v3.0-instruct",
     "Cohere-embed-multilingual-light-v3.0",
     "Cohere-embed-multilingual-v3.0",
     "DanskBERT",
     "FollowIR-7B",
     "GritLM-7B",
+    "GritLM-7B-noinstruct",
     "LASER2",
     "LLM2Vec-Llama-2-supervised",
     "LLM2Vec-Llama-2-unsupervised",
@@ -65,8 +67,11 @@ MODELS = [
     "OpenSearch-text-hybrid",
     "SFR-Embedding-Mistral",
     "all-MiniLM-L12-v2",
+    "all-MiniLM-L12-v2-instruct",
     "all-MiniLM-L6-v2",
+    "all-MiniLM-L6-v2-instruct",
     "all-mpnet-base-v2",
+    "all-mpnet-base-v2-instruct",
     "allenai-specter",
     "bert-base-10lang-cased",
     "bert-base-15lang-cased",
@@ -76,21 +81,28 @@ MODELS = [
     "bert-base-swedish-cased",
     "bert-base-uncased",
     "bge-base-en-v1.5",
+    "bge-base-en-v1.5-instruct",
     "bge-base-en",
     "bge-base-zh",
     "bge-base-zh-v1.5",
     "bge-large-en",
     "bge-large-en-v1.5",
+    "bge-large-en-v1.5-instruct",
     "bge-large-zh",
     "bge-large-zh-noinstruct",
     "bge-large-zh-v1.5",
     "bge-m3",
+    "bge-m3-instruct",
+    "bge-small-en-v1.5",
+    "bge-small-en-v1.5-instruct",
     "bge-small-zh",
     "bge-small-zh-v1.5",
     "bm25",
     "bm25s",
     "camembert-base",
     "camembert-large",
+    "contriever",
+    "contriever-instruct",
     "contriever-base-msmarco",
     "cross-en-de-roberta-sentence-transformer",
     "dfm-encoder-large-v1",
@@ -109,6 +121,7 @@ MODELS = [
     "e5-large",
     "e5-large-v2",
     "e5-mistral-7b-instruct",
+    "e5-mistral-7b-instruct-noinstruct",
     "e5-small",
     "e5-small-v2",
     "electra-small-nordic",
@@ -189,9 +202,12 @@ MODELS = [
     "tart-dual-contriever-msmarco",
     "tart-full-flan-t5-xl",
     "text-embedding-3-large",
+    "text-embedding-3-large-instruct",
     "text-embedding-3-large-256",
     "text-embedding-3-small",
+    "text-embedding-3-small-instruct",
     "text-embedding-ada-002",
+    "text-embedding-ada-002-instruct",
     "text-search-ada-001",
     "text-search-ada-doc-001",
     "text-search-babbage-001",