Update app.py

app.py

@@ -53,7 +53,6 @@ BASE_MODEL_IDS: List[str] = [
     "OpenCerebral/Boris-1.3-125M",
     "OpenCerebral/Boris-1.3-75M",
     "CodeSoft/sorbet-v2-25m",
-    "DALabCommunity/Haidass1.5-143M",
 ]
 
 BASE_MODEL_DISPLAY: Dict[str, str] = {
@@ -64,7 +63,6 @@ BASE_MODEL_DISPLAY: Dict[str, str] = {
     "OpenCerebral/Boris-1.3-125M": "Boris-1.3-125M",
     "OpenCerebral/Boris-1.3-75M": "Boris-1.3-75M",
     "CodeSoft/sorbet-v2-25m": "sorbet-v2-25m",
-    "DALabCommunity/Haidass1.5-143M": "Haidass1.5-143M",
 }
 
 MODEL_PARAMS: Dict[str, float] = {
@@ -81,7 +79,6 @@ MODEL_PARAMS: Dict[str, float] = {
     "OpenCerebral/Boris-1.3-125M": 125.0e6,
     "OpenCerebral/Boris-1.3-75M": 75.0e6,
     "CodeSoft/sorbet-v2-25m": 25.2e6,
-    "DALabCommunity/Haidass1.5-143M": 143.0e6,
 }
 
 FALLBACK_IDS: Dict[str, str] = {}
@@ -165,7 +162,6 @@ GEN_DEFAULTS: Dict[str, dict] = {
     "OpenCerebral/Boris-1.3-125M": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
     "OpenCerebral/Boris-1.3-75M": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
     "CodeSoft/sorbet-v2-25m": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
-    "DALabCommunity/Haidass1.5-143M": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
 }
 
 MODEL_CONTEXT: Dict[str, int] = {
@@ -182,7 +178,6 @@ MODEL_CONTEXT: Dict[str, int] = {
     "OpenCerebral/Boris-1.3-125M": 2048,
     "OpenCerebral/Boris-1.3-75M": 2048,
     "CodeSoft/sorbet-v2-25m": 4096,
-    "DALabCommunity/Haidass1.5-143M": 4096,
 }