diff --git a/example_trainer/configs/math_zero_lora.yaml b/example_trainer/configs/math_zero_lora.yaml
new file mode 100644
index 00000000..650d9d82
--- /dev/null
+++ b/example_trainer/configs/math_zero_lora.yaml
@@ -0,0 +1,21 @@
+env:
+  tokenizer_name: "Qwen/Qwen3-4B-Instruct-2507"
+  rollout_server_url: "http://localhost:8002"
+  max_token_length: 8192
+  start_tok_length: 8192
+  group_size: 8
+  batch_size: 64
+  total_steps: 120
+  steps_per_eval: 20
+  use_wandb: true
+  wandb_name: "math-zero-lora-env"
+  eval_limit_ratio: 0.1
+  max_num_workers_per_node: 24
+
+openai:
+  base_url: "http://localhost:9002/v1"
+  model_name: "Qwen/Qwen3-4B-Instruct-2507"
+  server_type: "vllm"
+  api_key: "x"
+  num_requests_for_eval: 256
+  weight: 1.0
diff --git a/example_trainer/configs/math_zero_shared.yaml b/example_trainer/configs/math_zero_shared.yaml
new file mode 100644
index 00000000..35979498
--- /dev/null
+++ b/example_trainer/configs/math_zero_shared.yaml
@@ -0,0 +1,21 @@
+env:
+  tokenizer_name: "Qwen/Qwen3-4B-Instruct-2507"
+  rollout_server_url: "http://localhost:8001"
+  max_token_length: 8192
+  start_tok_length: 8192
+  group_size: 8
+  batch_size: 64
+  total_steps: 120
+  steps_per_eval: 20
+  use_wandb: true
+  wandb_name: "math-zero-shared-env"
+  eval_limit_ratio: 0.1
+  max_num_workers_per_node: 24
+
+openai:
+  base_url: "http://localhost:9001/v1"
+  model_name: "Qwen/Qwen3-4B-Instruct-2507"
+  server_type: "vllm"
+  api_key: "x"
+  num_requests_for_eval: 256
+  weight: 1.0