update metadata for gte v1.5 series models

app.py

@@ -453,6 +453,9 @@ EXTERNAL_MODELS = [
     "voyage-lite-02-instruct",
     "xlm-roberta-base",
     "xlm-roberta-large",
+    "gte-large-en-v1.5",
+    "gte-base-en-v1.5",
+    "gte-qwen1.5-7b-instruct",
 ]
 
 EXTERNAL_MODEL_TO_LINK = {
@@ -583,6 +586,9 @@ EXTERNAL_MODEL_TO_LINK = {
     "voyage-lite-02-instruct": "https://docs.voyageai.com/embeddings/",
     "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base",
     "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large",
+    "gte-large-en-v1.5": "https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5",
+    "gte-base-en-v1.5": "https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5",
+    "gte-qwen1.5-7b-instruct": "https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct",
 }
 
 EXTERNAL_MODEL_TO_DIM = {
@@ -712,6 +718,9 @@ EXTERNAL_MODEL_TO_DIM = {
     "voyage-lite-02-instruct": 1024,
     "xlm-roberta-base":  768,
     "xlm-roberta-large":  1024,
+    "gte-large-en-v1.5": 768,
+    "gte-base-en-v1.5": 1024,
+    "gte-qwen1.5-7b-instruct": 4096,
 }
 
 EXTERNAL_MODEL_TO_SEQLEN = {
@@ -841,6 +850,9 @@ EXTERNAL_MODEL_TO_SEQLEN = {
     "voyage-lite-02-instruct": 4000,
     "xlm-roberta-base": 514,
     "xlm-roberta-large": 514,
+    "gte-large-en-v1.5": 8192,
+    "gte-base-en-v1.5": 8192,
+    "gte-qwen1.5-7b-instruct": 32768
 }
 
 EXTERNAL_MODEL_TO_SIZE = {
@@ -941,6 +953,9 @@ EXTERNAL_MODEL_TO_SIZE = {
     "voyage-lite-02-instruct": 1220,
     "xlm-roberta-base": 279,
     "xlm-roberta-large": 560,
+    "gte-large-en-v1.5": 137,
+    "gte-base-en-v1.5": 434,
+    "gte-qwen1.5-7b-instruct": 7099
 }
 
 PROPRIETARY_MODELS = {
@@ -1208,6 +1223,9 @@ MODELS_TO_SKIP = {
     "McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse",
     "McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse",
     "McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse",
+    "Alibaba-NLP/gte-Qwen1.5-7B-instruct",
+    "Alibaba-NLP/gte-base-en-v1.5",
+    "Alibaba-NLP/gte-large-en-v1.5",
 }