cd /home/mshahidul/readctrl/code/RL_model/verl/verl_train
python scripts/legacy_model_merger.py merge \
    --backend fsdp \
    --local_dir /home/mshahidul/readctrl/code/RL_model/models/bn_wo_summary/global_step_300/actor \
    --target_dir /home/mshahidul/readctrl/code/RL_model/models/converted_model/bn_300_reward_wo_summary


CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=7 python -m vllm.entrypoints.openai.api_server \
  --model /home/mshahidul/readctrl/code/RL_model/models/converted_model/bn_200_reward_v6_bn__v3_v4 \
  --served-model-name inference \
  --dtype bfloat16 \
  --port 8021
# Qwen/Qwen3-4B-Instruct-2507
# /home/mshahidul/readctrl/code/RL_model/models/converted_model/v1
CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=5 python -m vllm.entrypoints.openai.api_server \
  --model Qwen/Qwen3-4B-Instruct-2507 \
  --served-model-name inference \
  --dtype float16 \
  --port 8021 \
  --max-model-len 16384

python /home/mshahidul/readctrl/code/readctrl_rl_inference/run_inference_vllm_server_bn_api.py \
  --base_url http://127.0.0.1:8021/v1 \
  --served_model_name inference \
  --batch_size 8 \
  --output_name bn_200

# ------------------------------------------------------------
# Basic usage with model path
python run_inference_vllm_server_bn_direct_vllm.py --model_path /path/to/your/model

# With custom batch size (increase for faster inference if you have GPU memory)
python /home/mshahidul/readctrl/code/readctrl_rl_inference/run_inference_vllm_server_bn_direct_vllm.py --model_path /home/mshahidul/readctrl/code/RL_model/models/converted_model/bn_40_v2 --batch_size 128 --output_name bn_40_v2_result


# ------------------------------------------------------------
# http://172.16.34.22:3090/v1
# http://172.16.34.19:8040/v1
python /home/mshahidul/readctrl/code/readctrl_rl_inference/test_classifier_with_subclaim_thresholds.py --input-file /home/mshahidul/readctrl/code/readctrl_rl_inference/vllm_model_result/vllm_inference_320_en_only_srcCov_v5.jsonl


CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=7 vllm serve cyankiwi/Qwen3-Coder-Next-AWQ-4bit \
  --served-model-name coder-next \
  --dtype bfloat16 \
  --max-model-len 16384 \
  --gpu-memory-utilization 0.90 \
  --tensor-parallel-size 1 \
  --port 8060 \
  --trust-remote-code \
  --tool-call-parser qwen3_coder \
  --enable-auto-tool-choice 

CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=7 vllm serve unsloth/GLM-4.7-Flash-FP8-Dynamic \
    --port 8062 \
    --served-model-name coder \
    --tensor-parallel-size 1 \
    --dtype bfloat16 \
    --max-model-len 16384 \
    --gpu-memory-utilization 0.90 \
    --trust-remote-code \
    --tool-call-parser glm47 \
    --reasoning-parser glm45 \
    --enable-auto-tool-choice