disable two models that cannot run or too run too slowly on hf spaces with zerogpu

app.py

@@ -55,10 +55,10 @@ MODELS = {
     #     "description": "4-bit AWQ quantized dense causal language model with 32.8B total parameters (31.2B non-embedding), 64 layers, 64 query heads & 8 KV heads, native 32,768-token context (extendable to 131,072 via YaRN). Features seamless switching between thinking mode (for complex reasoning, math, coding) and non-thinking mode (for efficient dialogue), strong multilingual support (100+ languages), and leading open-source agent capabilities."
     # },
 
-    "gpt-oss-20b-BF16": {
-        "repo_id": "unsloth/gpt-oss-20b-BF16",
-        "description": "A 20B-parameter open-source GPT-style language model quantized to INT4 using AutoRound, with FP8 key-value cache for efficient inference. Optimized for performance and memory efficiency on Intel hardware while maintaining strong language generation capabilities."
-    },
+    # "gpt-oss-20b-BF16": {
+    #     "repo_id": "unsloth/gpt-oss-20b-BF16",
+    #     "description": "A 20B-parameter open-source GPT-style language model quantized to INT4 using AutoRound, with FP8 key-value cache for efficient inference. Optimized for performance and memory efficiency on Intel hardware while maintaining strong language generation capabilities."
+    # },
     
     "Apriel-1.5-15b-Thinker": {
         "repo_id": "ServiceNow-AI/Apriel-1.5-15b-Thinker",
@@ -79,10 +79,10 @@ MODELS = {
     # "Apriel-1.5-15b-Thinker": { ... },
 
     # 5B
-    "Apriel-5B-Instruct": {
-        "repo_id": "ServiceNow-AI/Apriel-5B-Instruct",
-        "description": "A 5B-parameter instruction-tuned model from ServiceNow’s Apriel series, optimized for enterprise tasks and general-purpose instruction following."
-    },
+    # "Apriel-5B-Instruct": {
+    #     "repo_id": "ServiceNow-AI/Apriel-5B-Instruct",
+    #     "description": "A 5B-parameter instruction-tuned model from ServiceNow’s Apriel series, optimized for enterprise tasks and general-purpose instruction following."
+    # },
 
     # 4.3B
     "Phi-4-mini-Reasoning": {