Use Maia 23m as default model

deploy/systemd/maia-engine.service

@@ -8,7 +8,7 @@ Type=simple
 User=root
 Group=root
 WorkingDirectory=/root/blog-backend/maia-engine
-Environment=MAIA_MODEL=maia3-5m
+Environment=MAIA_MODEL=maia3-23m
 Environment=MAIA_DEVICE=cpu
 Environment=MAIA_USE_AMP=false
 Environment=HF_HOME=/root/blog-backend/.cache/huggingface

docker-compose.yml

@@ -49,7 +49,7 @@ services:
     container_name: maia-engine
     restart: always
     environment:
-      - MAIA_MODEL=maia3-5m
+      - MAIA_MODEL=maia3-23m
       - MAIA_DEVICE=cpu
       - MAIA_USE_AMP=false
       - HF_HOME=/models/huggingface

maia-engine/app/main.py

@@ -13,7 +13,7 @@ from fastapi import FastAPI, HTTPException
 from pydantic import BaseModel, Field
 
 
-DEFAULT_MODEL = os.getenv("MAIA_MODEL", "5m").removeprefix("maia3-")
+DEFAULT_MODEL = os.getenv("MAIA_MODEL", "23m").removeprefix("maia3-")
 DEFAULT_DEVICE = os.getenv("MAIA_DEVICE", "cpu")
 DEFAULT_USE_AMP = os.getenv("MAIA_USE_AMP", "false").lower() == "true"
 

src/main/kotlin/me/wypark/blogbackend/api/dto/ChessGameDtos.kt

@@ -25,7 +25,7 @@ data class ChessGameCreateRequest(
         regexp = "^(3m|5m|23m|79m)$",
         message = "model은 3m, 5m, 23m, 79m 중 하나여야 합니다."
     )
-    val model: String = "5m",
+    val model: String = "23m",
 
     @field:DecimalMin(value = "0.0", message = "temperature는 0.0 이상이어야 합니다.")
     @field:DecimalMax(value = "2.0", message = "temperature는 2.0 이하여야 합니다.")