Update app.py

app.py

@@ -65,6 +65,7 @@ BASE_MODEL_IDS: List[str] = [
     "BananaMind/BananaMind-2-Medium",
     "BananaMind/BananaMind-2-Mini",
     "BananaMind/BananaMind-2-Nano",
+    "opencerebral/Boris-1.7-D60M-n30M",
 ]
 
 BASE_MODEL_DISPLAY: Dict[str, str] = {
@@ -81,6 +82,7 @@ BASE_MODEL_DISPLAY: Dict[str, str] = {
     "BananaMind/BananaMind-2-Medium": "BananaMind-2-Medium",
     "BananaMind/BananaMind-2-Mini": "BananaMind-2-Mini",
     "BananaMind/BananaMind-2-Nano": "BananaMind-2-Nano",
+    "opencerebral/Boris-1.7-D60M-n30M": "Boris-1.7-D60M-n30M",
 }
 
 MODEL_PARAMS: Dict[str, float] = {
@@ -106,6 +108,7 @@ MODEL_PARAMS: Dict[str, float] = {
     "BananaMind/BananaMind-2-Medium": 55.85e6,
     "BananaMind/BananaMind-2-Mini": 28.32e6,
     "BananaMind/BananaMind-2-Nano": 12.07e6,
+    "opencerebral/Boris-1.7-D60M-n30M": 116.1e6,
 }
 
 FALLBACK_IDS: Dict[str, str] = {}
@@ -198,6 +201,7 @@ GEN_DEFAULTS: Dict[str, dict] = {
     "BananaMind/BananaMind-2-Medium": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
     "BananaMind/BananaMind-2-Mini": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
     "BananaMind/BananaMind-2-Nano": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
+    "opencerebral/Boris-1.7-D60M-n30M": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
 }
 
 MODEL_CONTEXT: Dict[str, int] = {
@@ -223,6 +227,7 @@ MODEL_CONTEXT: Dict[str, int] = {
     "BananaMind/BananaMind-2-Medium": 3072,
     "BananaMind/BananaMind-2-Mini": 4096,
     "BananaMind/BananaMind-2-Nano": 4096,
+    "opencerebral/Boris-1.7-D60M-n30M": 1024,
 }