[deployment] Fix deepseek671B grpo script (#3383)

### What does this PR do?

The current script is not actual grpo script. This PR adds the missing
parameters.

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examples/grpo_trainer/run_deepseek671b_math_megatron_80gb.sh

@@ -48,9 +48,16 @@ use_dynamic_bsz=True
 actor_ppo_max_token_len=$(((max_prompt_length + max_response_length) * 1))
 infer_ppo_max_token_len=$(((max_prompt_length + max_response_length) * 3))
 
+use_kl_in_reward=False
+kl_coef=0.0
+use_kl_loss=True
+kl_loss_coef=0.001
+
 # RAY_ADDRESS='auto' ray job submit --working-dir . --
 python3 -m verl.trainer.main_ppo --config-path=./config --config-name='ppo_megatron_trainer'\
     algorithm.adv_estimator=grpo \
+    algorithm.use_kl_in_reward=${use_kl_in_reward} \
+    algorithm.kl_ctrl.kl_coef=${kl_coef} \
     data.train_files="$train_files" \
     data.val_files="$test_files" \
     data.train_batch_size=512 \
@@ -62,8 +69,9 @@ python3 -m verl.trainer.main_ppo --config-path=./config --config-name='ppo_megat
     actor_rollout_ref.actor.optim.lr=1e-6 \
     actor_rollout_ref.actor.ppo_mini_batch_size=128 \
     actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=1 \
-    actor_rollout_ref.actor.use_kl_loss=False \
     actor_rollout_ref.actor.use_torch_compile=False \
+    actor_rollout_ref.actor.use_kl_loss=${use_kl_loss} \
+    actor_rollout_ref.actor.kl_loss_coef=${kl_loss_coef} \
     actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=1 \
     actor_rollout_ref.rollout.name=vllm \
     actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \
@@ -72,7 +80,6 @@ python3 -m verl.trainer.main_ppo --config-path=./config --config-name='ppo_megat
     actor_rollout_ref.rollout.top_p=1.0 \
     actor_rollout_ref.rollout.top_k=-1 \
     actor_rollout_ref.rollout.tensor_model_parallel_size=$INFER_TP \
-    algorithm.use_kl_in_reward=False \
     trainer.logger='["console","tensorboard"]' \
     trainer.project_name='verl_megatron_gsm8k_examples' \
     trainer.experiment_name='dsv3-32nodes' \