update benchmark model

backend/config/models_config.py

@@ -21,6 +21,7 @@ DEFAULT_EVALUATION_MODELS = [
 
 # Modèles alternatifs à utiliser si le modèle par défaut n'est pas disponible
 ALTERNATIVE_BENCHMARK_MODELS = [
+    "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
     "meta-llama/Llama-3.3-70B-Instruct",
     "meta-llama/Llama-3.1-8B-Instruct",
     "Qwen/Qwen2.5-72B-Instruct",
@@ -32,7 +33,7 @@ ALTERNATIVE_BENCHMARK_MODELS = [
 ]
 
 # Required model for create_bench_config_file.py (only one default model)
-DEFAULT_BENCHMARK_MODEL = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"
+DEFAULT_BENCHMARK_MODEL = "Qwen/Qwen2.5-32B-Instruct"
 
 # Models by roles for benchmark configuration
 # All roles use the default model except chunking