Add OpenCerebral models

app.py

@@ -31,6 +31,8 @@ MODEL_IDS: List[str] = [
     "BananaMind/BananaMind-2-Medium-Chat",
     "SupraLabs/Supra2-100M-Instruct",
     "HuggingFaceTB/SmolLM2-135M-Instruct",
+    "OpenCerebral/Boris-1.3-125M-Instruct",
+    "OpenCerebral/Boris-1.3-75M-Instruct",
 ]
 
 MODEL_DISPLAY: Dict[str, str] = {
@@ -38,6 +40,8 @@ MODEL_DISPLAY: Dict[str, str] = {
     "BananaMind/BananaMind-2-Medium-Chat": "BananaMind-2-Medium-Chat",
     "SupraLabs/Supra2-100M-Instruct": "Supra2-100M-Instruct",
     "HuggingFaceTB/SmolLM2-135M-Instruct": "SmolLM2-135M-Instruct",
+    "OpenCerebral/Boris-1.3-125M-Instruct": "Boris-1.3-125M-Instruct",
+    "OpenCerebral/Boris-1.3-75M-Instruct": "Boris-1.3-75M-Instruct",
 }
 
 BASE_MODEL_IDS: List[str] = [
@@ -45,6 +49,8 @@ BASE_MODEL_IDS: List[str] = [
     "AxiomicLabs/GPT-X2.5-135M",
     "BananaMind/BananaMind-2-Pro",
     "HuggingFaceTB/SmolLM2-135M",
+    "OpenCerebral/Boris-1.3-125M",
+    "OpenCerebral/Boris-1.3-75M",
 ]
 
 BASE_MODEL_DISPLAY: Dict[str, str] = {
@@ -52,6 +58,8 @@ BASE_MODEL_DISPLAY: Dict[str, str] = {
     "AxiomicLabs/GPT-X2.5-135M": "GPT-X2.5-135M",
     "BananaMind/BananaMind-2-Pro": "BananaMind-2-Pro",
     "HuggingFaceTB/SmolLM2-135M": "SmolLM2-135M",
+    "OpenCerebral/Boris-1.3-125M": "Boris-1.3-125M",
+    "OpenCerebral/Boris-1.3-75M": "Boris-1.3-75M",
 }
 
 FALLBACK_IDS: Dict[str, str] = {}
@@ -130,6 +138,10 @@ GEN_DEFAULTS: Dict[str, dict] = {
     "AxiomicLabs/GPT-X2.5-135M": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
     "BananaMind/BananaMind-2-Pro": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
     "HuggingFaceTB/SmolLM2-135M": {"max_new_tokens": 64, "temperature": 0.8, "top_p": 0.95, "repetition_penalty": 1.1, "do_sample": True},
+    "OpenCerebral/Boris-1.3-125M-Instruct": {"max_new_tokens": 64, "temperature": 0.7, "top_p": 0.9, "repetition_penalty": 1.1, "do_sample": True},
+    "OpenCerebral/Boris-1.3-75M-Instruct": {"max_new_tokens": 64, "temperature": 0.7, "top_p": 0.9, "repetition_penalty": 1.1, "do_sample": True},
+    "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},
 }
 
 MODEL_CONTEXT: Dict[str, int] = {
@@ -141,6 +153,10 @@ MODEL_CONTEXT: Dict[str, int] = {
     "AxiomicLabs/GPT-X2.5-135M": 2048,
     "BananaMind/BananaMind-2-Pro": 3072,
     "HuggingFaceTB/SmolLM2-135M": 2048,
+    "OpenCerebral/Boris-1.3-125M-Instruct": 2048,
+    "OpenCerebral/Boris-1.3-75M-Instruct": 2048,
+    "OpenCerebral/Boris-1.3-125M": 2048,
+    "OpenCerebral/Boris-1.3-75M": 2048,
 }