[WIP][BREAKING][megatron] [1/n] clean legacy megatron model path

.github/workflows/e2e_ppo_trainer_megatron_sglang.yml

@@ -181,11 +181,6 @@ jobs:
         run: |
           ray stop --force
           ALL_OFFLOAD=True VAL_BEFORE_TRAIN=True TEST_FREQ=1 SAVE_FREQ=1 LR_WARMUP_STEPS=1 TOTAL_TRAIN_STEPS=2 MODEL_ID=Qwen/Qwen3-0.6B bash tests/special_e2e/run_ppo_trainer_megatron.sh
-      - name: Test Megatron checkpoints merging function (Qwen3 Actor and Critic)
-        run: |
-          exp_name="qwen3-0.6b-megatron-gsm8k-minimal"
-          python -m verl.model_merger test --backend megatron --tie-word-embedding --local_dir checkpoints/verl-test/${exp_name}/global_step_1/actor --test_hf_dir checkpoints/verl-test/${exp_name}/global_step_1/actor/huggingface
-          python -m verl.model_merger test --backend megatron --is-value-model --local_dir checkpoints/verl-test/${exp_name}/global_step_1/critic --test_hf_dir checkpoints/verl-test/${exp_name}/global_step_1/critic/huggingface
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with FP8 rollout
         run: |
           ray stop --force

.github/workflows/e2e_ppo_trainer_megatron_sglang_2.yml

@@ -125,13 +125,10 @@ jobs:
       - name: Prepare Geo3k dataset
         run: |
           python3 examples/data_preprocess/geo3k.py --local_dataset_path ${HOME}/models/hf_data/hiyouga/geometry3k/
-      - name: Prepare dist_ckpt of Qwen2.5-VL-3B, only supports dist_ckpt
-        run: |
-          python3 scripts/converter_hf_to_mcore.py --hf_model_path ${HOME}/models/Qwen/Qwen2.5-VL-3B-Instruct --output_path checkpoints/verl-test/qwen2.5-vl-3b-megatron
       - name: Running Geo3k E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen)
         run: |
           ray stop --force
-          ENGINE=sglang ROLLOUT_MODE=async TRAIN_FILES=${HOME}/data/geo3k/train.parquet VAL_FILES=${HOME}/data/geo3k/test.parquet MAX_PROMPT_LENGTH=1024 MAX_RESPONSE_LENGTH=2048  MODEL_ID=Qwen/Qwen2.5-VL-3B-Instruct ADV_ESTIMATOR=grpo USE_DYNAMIC_BSZ=False SKIP_SAVE_HF_MODEL=1 COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 COMMON_TP=2 USE_DIST_CKPT=true DIST_CKPT_PATH=checkpoints/verl-test/qwen2.5-vl-3b-megatron bash tests/special_e2e/run_ppo_trainer_megatron.sh
+          ENGINE=sglang ROLLOUT_MODE=async TRAIN_FILES=${HOME}/data/geo3k/train.parquet VAL_FILES=${HOME}/data/geo3k/test.parquet MAX_PROMPT_LENGTH=1024 MAX_RESPONSE_LENGTH=2048  MODEL_ID=Qwen/Qwen2.5-VL-3B-Instruct ADV_ESTIMATOR=grpo USE_DYNAMIC_BSZ=False SKIP_SAVE_HF_MODEL=1 COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 COMMON_TP=2 USE_DIST_CKPT=false DIST_CKPT_PATH=checkpoints/verl-test/qwen2.5-vl-3b-megatron bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: clean up
         run: |
           rm -rf checkpoints

.github/workflows/e2e_ppo_trainer_megatron_vllm.yml

@@ -132,12 +132,12 @@ jobs:
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron, use mbridge e2e to pre-load and save (Deepseek)
         run: |
           ray stop --force
-          ALL_OFFLOAD=True SAVE_FREQ=1 MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 USE_MBRIDGE=True USE_DIST_CKPT=False \
+          ALL_OFFLOAD=True SAVE_FREQ=1 MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 USE_DIST_CKPT=False \
           bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron, use mbridge e2e to pre-load and save (Deepseek)
         run: |
           ray stop --force
-          RESUME_MODE=auto MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct TOTAL_TRAIN_STEPS=2 SAVE_FREQ=1 COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 USE_MBRIDGE=True USE_DIST_CKPT=False \
+          RESUME_MODE=auto MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct TOTAL_TRAIN_STEPS=2 SAVE_FREQ=1 COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 USE_DIST_CKPT=False \
           bash tests/special_e2e/run_ppo_trainer_megatron.sh
       # LoRA training save&load
       - name: clean up and install Megatron-Bridge
@@ -149,12 +149,12 @@ jobs:
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron, use Megatron-Bridge LoRA e2e to pre-load and save (Deepseek)
         run: |
           ray stop --force
-          ALL_OFFLOAD=True SAVE_FREQ=1 MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct COMMON_PP=4 LORA_RANK=8 COMMON_VPP=null COMMON_CP=1 USE_MBRIDGE=True VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False USE_DIST_CKPT=False \
+          ALL_OFFLOAD=True SAVE_FREQ=1 MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct COMMON_PP=4 LORA_RANK=8 COMMON_VPP=null COMMON_CP=1 VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False USE_DIST_CKPT=False \
           bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron, use Megatron-Bridge LoRA e2e to pre-load and save (Deepseek)
         run: |
           ray stop --force
-          RESUME_MODE=auto MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct TOTAL_TRAIN_STEPS=2 SAVE_FREQ=1 COMMON_PP=4 LORA_RANK=8 COMMON_VPP=null COMMON_CP=1 USE_MBRIDGE=True VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False USE_DIST_CKPT=False \
+          RESUME_MODE=auto MODEL_ID=deepseek-ai/deepseek-coder-1.3b-instruct TOTAL_TRAIN_STEPS=2 SAVE_FREQ=1 COMMON_PP=4 LORA_RANK=8 COMMON_VPP=null COMMON_CP=1 VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False USE_DIST_CKPT=False \
           bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: clean up
         run: |
@@ -186,11 +186,6 @@ jobs:
         run: |
           ray stop --force
           ALL_OFFLOAD=True VAL_BEFORE_TRAIN=True TEST_FREQ=1 SAVE_FREQ=1 LR_WARMUP_STEPS=1 TOTAL_TRAIN_STEPS=2 MODEL_ID=Qwen/Qwen3-0.6B bash tests/special_e2e/run_ppo_trainer_megatron.sh
-      - name: Test Megatron checkpoints merging function (Qwen3 Actor and Critic)
-        run: |
-          exp_name="qwen3-0.6b-megatron-gsm8k-minimal"
-          python -m verl.model_merger test --backend megatron --tie-word-embedding --local_dir checkpoints/verl-test/${exp_name}/global_step_1/actor --test_hf_dir checkpoints/verl-test/${exp_name}/global_step_1/actor/huggingface
-          python -m verl.model_merger test --backend megatron --is-value-model --local_dir checkpoints/verl-test/${exp_name}/global_step_1/critic --test_hf_dir checkpoints/verl-test/${exp_name}/global_step_1/critic/huggingface
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with FP8 rollout
         run: |
           ray stop --force

.github/workflows/e2e_ppo_trainer_megatron_vllm_2.yml

@@ -134,7 +134,7 @@ jobs:
           ADV_ESTIMATOR=grpo USE_DUMMY_MODEL=True DUMMY_MODEL_CONFIG_PATH=tests/special_e2e/ppo_trainer/expert_parallel/qwen2moe_minimal.json \
           PPO_MAX_TOKEN_LEN=1024 FWD_MAX_TOKEN_LEN=1024 \
           MAX_PROMPT_LENGTH=512 MAX_RESPONSE_LENGTH=512 \
-          MODEL_ID=Qwen/Qwen3-30B-A3B-Instruct-2507 USE_MBRIDGE=True VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False \
+          MODEL_ID=Qwen/Qwen3-30B-A3B-Instruct-2507 VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False \
           COMMON_PP=2 COMMON_VPP=null COMMON_CP=1 COMMON_TP=4 COMMON_EP=4 COMMON_ETP=1 INFER_TP=8 \
           USE_DIST_CKPT=True ALL_OFFLOAD=True SKIP_SAVE_HF_MODEL=1 bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: clean up
@@ -146,7 +146,7 @@ jobs:
           ADV_ESTIMATOR=grpo USE_DUMMY_MODEL=True DUMMY_MODEL_CONFIG_PATH=tests/special_e2e/ppo_trainer/expert_parallel/qwen2moe_minimal.json \
           PPO_MAX_TOKEN_LEN=1024 FWD_MAX_TOKEN_LEN=1024 \
           MAX_PROMPT_LENGTH=512 MAX_RESPONSE_LENGTH=512 LORA_RANK=8 CRITIC_LORA_RANK=8 \
-          MODEL_ID=Qwen/Qwen3-30B-A3B-Instruct-2507 USE_MBRIDGE=True VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False \
+          MODEL_ID=Qwen/Qwen3-30B-A3B-Instruct-2507 VANILLA_MBRIDGE=False VALUE_VANILLA_MBRIDGE=False \
           COMMON_PP=2 COMMON_VPP=null COMMON_CP=1 COMMON_TP=4 COMMON_EP=2 COMMON_ETP=1 INFER_TP=8 \
           USE_DIST_CKPT=False ALL_OFFLOAD=True SKIP_SAVE_HF_MODEL=1 bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: clean up
@@ -174,16 +174,13 @@ jobs:
       - name: Prepare Geo3k dataset
         run: |
           python3 examples/data_preprocess/geo3k.py --local_dataset_path ${HOME}/models/hf_data/hiyouga/geometry3k/
-      - name: Prepare dist_ckpt of Qwen2.5-VL-3B, only supports dist_ckpt
-        run: |
-          python3 scripts/converter_hf_to_mcore.py --hf_model_path ${HOME}/models/Qwen/Qwen2.5-VL-3B-Instruct --output_path checkpoints/verl-test/qwen2.5-vl-3b-megatron
       - name: Running Geo3k E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen)
         run: |
           ray stop --force
           TRAIN_FILES=${HOME}/data/geo3k/train.parquet VAL_FILES=${HOME}/data/geo3k/test.parquet \
           MAX_PROMPT_LENGTH=1024 MAX_RESPONSE_LENGTH=2048  MODEL_ID=Qwen/Qwen2.5-VL-3B-Instruct ADV_ESTIMATOR=grpo \
           USE_DYNAMIC_BSZ=False USE_FUSED_KERNELS=True SKIP_SAVE_HF_MODEL=1 \
-          COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 COMMON_TP=2 USE_DIST_CKPT=true \
+          COMMON_PP=4 COMMON_VPP=null COMMON_CP=1 COMMON_TP=2 USE_DIST_CKPT=false \
           DIST_CKPT_PATH=checkpoints/verl-test/qwen2.5-vl-3b-megatron bash tests/special_e2e/run_ppo_trainer_megatron.sh
       - name: clean up
         run: |

.github/workflows/model.yml

@@ -48,7 +48,6 @@ on:
       # Entrypoints
       - ".github/workflows/model.yml"
       - "tests/special_distributed/test_fsdp_ckpt.py"
-      - "tests/special_distributed/test_mcore_config_converter.py"
       - "tests/special_distributed/test_tensor_dict.py"
       - "tests/models/**"
       - "tests/special_distributed/run_all.sh"
@@ -144,34 +143,6 @@ jobs:
         run: |
           STRATEGY=fsdp2 torchrun --nproc_per_node=8 tests/special_distributed/test_fsdp_ckpt.py
 
-  mcore_config_converter:
-    needs: setup
-    runs-on: [ "${{ needs.setup.outputs.runner-label || 'L20x8' }}" ]
-    timeout-minutes: 20 # Increase this timeout value as needed
-    env:
-      HTTP_PROXY: ${{ secrets.PROXY_HTTP }}
-      HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }}
-      NO_PROXY: "localhost,127.0.0.1,hf-mirror.com"
-      HF_ENDPOINT: "https://hf-mirror.com"
-      HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
-    steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
-        with:
-          fetch-depth: 0
-      - name: Install the current repository
-        run: |
-          pip3 install -e .[test]
-#      - name: Download model config files
-#        run: |
-#          hf download Qwen/Qwen2.5-7B config.json --local-dir $HOME/configs/Qwen/Qwen2.5-7B
-#          hf download Qwen/Qwen3-8B config.json --local-dir $HOME/configs/Qwen/Qwen3-8B
-#          hf download deepseek-ai/deepseek-coder-1.3b-instruct config.json --local-dir $HOME/configs/deepseek-ai/deepseek-coder-1.3b-instruct
-#          hf download Qwen/Qwen2-57B-A14B config.json --local-dir $HOME/configs/Qwen/Qwen2-57B-A14B
-#          hf download Qwen/Qwen3-30B-A3B config.json --local-dir $HOME/configs/Qwen/Qwen3-30B-A3B
-#          hf download deepseek-ai/DeepSeek-V3-Base config.json --local-dir $HOME/configs/deepseek-ai/DeepSeek-V3-Base
-      - name: Running mcore config converter tests on 8 L20 GPUs
-        run: |
-          torchrun --nproc_per_node=8 tests/special_distributed/test_mcore_config_converter.py
 
   model_engine:
     needs: setup
@@ -206,7 +177,6 @@ jobs:
         setup,
         model_rmpad,
         model_rmpad_fsdp2_unstable,
-        mcore_config_converter,
         model_engine
       ]
     if: always()