Add files using upload-large-folder tool

wandb/run-20251223_162552-ewsc4n4r/files/requirements.txt

@@ -0,0 +1,313 @@
+ragen==0.1
+ragen==0.1
+colorama==0.4.6
+psutil==7.1.3
+Farama-Notifications==0.0.4
+MarkupSafe==2.1.5
+PyJWT==2.10.1
+PySocks==1.7.1
+absl-py==2.3.1
+accelerate==1.12.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.2
+aiohttp-cors==0.8.1
+aiosignal==1.4.0
+airportsdata==20250909
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anthropic==0.75.0
+antlr4-python3-runtime==4.9.3
+anyio==4.12.0
+astor==0.8.1
+asttokens==3.0.1
+async-timeout==5.0.1
+attrs==25.4.0
+beautifulsoup4==4.14.3
+black==25.11.0
+blake3==1.0.8
+blinker==1.9.0
+blis==1.3.3
+cachetools==6.2.2
+catalogue==2.0.10
+certifi==2025.11.12
+cffi==2.0.0
+charset-normalizer==3.4.4
+cleantext==1.1.4
+click==8.2.1
+cloudpathlib==0.23.0
+cloudpickle==3.1.2
+codetiming==1.4.0
+colorama==0.4.6
+coloredlogs==15.0.1
+colorful==0.5.8
+compressed-tensors==0.9.3
+confection==0.1.5
+contourpy==1.3.2
+cryptography==46.0.3
+cupy-cuda12x==13.6.0
+cycler==0.12.1
+cymem==2.0.13
+Cython==3.2.2
+datasets==4.4.1
+debugpy==1.8.17
+decorator==5.2.1
+Deprecated==1.3.1
+depyf==0.18.0
+dill==0.4.0
+diskcache==5.6.3
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+faiss-gpu==1.7.2
+fastapi==0.123.1
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+fastapi-cloud-cli==0.5.2
+fastar==0.8.0
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+filelock==3.19.1
+flash_attn==2.8.3
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+flatbuffers==25.9.23
+fonttools==4.61.0
+frozenlist==1.8.0
+fsspec==2025.9.0
+gdown==5.2.0
+gguf==0.17.1
+gitdb==4.0.12
+GitPython==3.1.45
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+google-auth==2.43.0
+googleapis-common-protos==1.72.0
+grpcio==1.76.0
+gym==0.26.2
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+html2text==2025.4.15
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+httptools==0.7.1
+httpx==0.28.1
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+interegular==0.3.3
+ipython==8.37.0
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+jiter==0.12.0
+joblib==1.5.2
+jsonschema==4.25.1
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+lm-format-enforcer==0.10.12
+loguru==0.7.3
+Markdown==3.10
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+nltk==3.9.2
+numba==0.61.2
+numpy==1.26.4
+nvidia-cublas-cu12==12.4.5.8
+nvidia-cuda-cupti-cu12==12.4.127
+nvidia-cuda-nvrtc-cu12==12.4.127
+nvidia-cuda-runtime-cu12==12.4.127
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+nvidia-cufft-cu12==11.2.1.3
+nvidia-curand-cu12==10.3.5.147
+nvidia-cusolver-cu12==11.6.1.9
+nvidia-cusparse-cu12==12.3.1.170
+nvidia-cusparselt-cu12==0.6.2
+nvidia-nccl-cu12==2.21.5
+nvidia-nvjitlink-cu12==12.4.127
+nvidia-nvtx-cu12==12.4.127
+omegaconf==2.3.0
+onnxruntime==1.23.2
+openai==2.8.1
+opencensus==0.11.4
+opencensus-context==0.1.3
+opencv-python-headless==4.12.0.88
+opentelemetry-api==1.38.0
+opentelemetry-exporter-otlp==1.26.0
+opentelemetry-exporter-otlp-proto-common==1.26.0
+opentelemetry-exporter-otlp-proto-grpc==1.26.0
+opentelemetry-exporter-otlp-proto-http==1.26.0
+opentelemetry-exporter-prometheus==0.59b0
+opentelemetry-proto==1.26.0
+opentelemetry-sdk==1.38.0
+opentelemetry-semantic-conventions==0.59b0
+opentelemetry-semantic-conventions-ai==0.4.13
+orjson==3.11.4
+outlines==0.1.11
+outlines_core==0.1.26
+packaging==25.0
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+parso==0.8.5
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+pathspec==0.12.1
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+prompt_toolkit==3.0.52
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+pygame==2.6.1
+Pygments==2.19.2
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+pylatexenc==2.10
+pyparsing==3.2.5
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+python-dateutil==2.9.0.post0
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+python-multipart==0.0.20
+pytokens==0.3.0
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+pyzmq==27.1.0
+ragen==0.1
+rank-bm25==0.2.2
+RapidFuzz==3.14.3
+ray==2.52.1
+referencing==0.37.0
+regex==2025.11.3
+requests==2.32.5
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+sentry-sdk==2.46.0
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+xgrammar==0.1.18
+xxhash==3.6.0
+yarl==1.22.0
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+backports.tarfile==1.2.0
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wandb/run-20251223_162552-ewsc4n4r/files/wandb-metadata.json

@@ -0,0 +1,107 @@
+{
+  "os": "Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.10.19",
+  "startedAt": "2025-12-23T08:25:52.704948Z",
+  "args": [
+    "--node-ip-address=10.119.27.166",
+    "--node-manager-port=36921",
+    "--object-store-name=/tmp/ray/session_2025-12-23_16-24-48_055138_50/sockets/plasma_store",
+    "--raylet-name=/tmp/ray/session_2025-12-23_16-24-48_055138_50/sockets/raylet",
+    "--redis-address=None",
+    "--metrics-agent-port=41430",
+    "--logging-rotate-bytes=536870912",
+    "--logging-rotate-backup-count=5",
+    "--runtime-env-agent-port=54341",
+    "--gcs-address=10.119.27.166:63346",
+    "--session-name=session_2025-12-23_16-24-48_055138_50",
+    "--temp-dir=/tmp/ray",
+    "--webui=127.0.0.1:8265",
+    "--cluster-id=0fdbc60a9b14153e02825b0b6c127c88e11c19d9e2a8889a07d0956a",
+    "--startup-token=112",
+    "--worker-launch-time-ms=1766478291939",
+    "--node-id=5752145a87416e926b89ba33c2108ac01710e4cec85a1d43fc9e89c9",
+    "--runtime-env-hash=-839022692"
+  ],
+  "program": "/root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py",
+  "git": {
+    "remote": "https://github.com/mll-lab-nu/RAGEN.git",
+    "commit": "8d73639b99b38265453f898b8d6af7d4af50d56e"
+  },
+  "email": "haoyu-wa22@mails.tsinghua.edu.cn",
+  "root": "/mnt/general/wanghy/RAGEN",
+  "host": "pt-8da3f1b02d534420a74a3cb798ab27bb-worker-0",
+  "executable": "/root/local/miniconda3/envs/ragen/bin/python",
+  "cpu_count": 64,
+  "cpu_count_logical": 128,
+  "gpu": "NVIDIA H100 80GB HBM3",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
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+      "used": "3293184"
+    }
+  },
+  "memory": {
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+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-e2a04128-a80b-fb3a-5ee9-c5dba7df295c"
+    },
+    {
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+      "architecture": "Hopper",
+      "uuid": "GPU-f08adf9f-5ec4-2689-733a-69bb915cf2bf"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
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+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-5acd9470-2074-3de9-3170-043bbb8164d7"
+    },
+    {
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+      "architecture": "Hopper",
+      "uuid": "GPU-58ebe3c9-7574-74f8-30e9-437fabb9621f"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-100c1a6b-4cb7-1dad-215d-458b1d556ea2"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-91f28bf3-4426-fe95-7883-776aa9c3250e"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-cfef758f-0cc6-cbb2-bd39-cccffa06c1f1"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-53604749-45ad-a53c-e6bc-c4561faa4537"
+    }
+  ],
+  "cudaVersion": "12.4",
+  "writerId": "n12yg0m0wc938w7fl0qjx5qcskzd8x2a"
+}

wandb/run-20251223_162552-ttdy7xe7/files/requirements.txt

@@ -0,0 +1,313 @@
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+ragen==0.1
+colorama==0.4.6
+psutil==7.1.3
+Farama-Notifications==0.0.4
+MarkupSafe==2.1.5
+PyJWT==2.10.1
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+absl-py==2.3.1
+accelerate==1.12.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.2
+aiohttp-cors==0.8.1
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+airportsdata==20250909
+annotated-doc==0.0.4
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+anthropic==0.75.0
+antlr4-python3-runtime==4.9.3
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+astor==0.8.1
+asttokens==3.0.1
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+attrs==25.4.0
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+datasets==4.4.1
+debugpy==1.8.17
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+nvidia-cuda-nvrtc-cu12==12.4.127
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wandb/run-20251223_162552-ttdy7xe7/files/wandb-metadata.json

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wandb/run-20251223_163301-wc0po89b/files/requirements.txt

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wandb/run-20251223_163301-wc0po89b/files/wandb-metadata.json

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+  "host": "pt-cb744cac4b954c01843b625709781edf-worker-0",
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+  "cpu_count": 64,
+  "cpu_count_logical": 128,
+  "gpu": "NVIDIA H100 80GB HBM3",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "5153960755200",
+      "used": "3297280"
+    }
+  },
+  "memory": {
+    "total": "2163642085376"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-440f8d03-dc48-3114-8fc0-a26d12087053"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-9b5c5610-e6ac-4cb1-072c-5e36acc62989"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-41bbccb0-8306-5d0b-7759-7651400074c7"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-89257553-fe8d-b14b-76dc-7785bb1b1123"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-72f3a558-f859-c69a-3372-9a4affa39bc2"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
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+      "architecture": "Hopper",
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+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
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+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-54030121-41d5-db29-1f91-7cc6fd1d192f"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-fd81d1da-3dff-56f1-642c-2d2aaf70f6d5"
+    }
+  ],
+  "cudaVersion": "12.4",
+  "writerId": "i7ivanhd7arxs1i134d6xsu0iqni6umh"
+}

wandb/run-20251223_163511-si2a1ssh/files/config.yaml

@@ -0,0 +1,959 @@
+_wandb:
+    value:
+        cli_version: 0.23.0
+        e:
+            2vpxh3jij4jx0nxsqydtpdkdpdbzg159:
+                args:
+                    - --node-ip-address=10.119.28.18
+                    - --node-manager-port=44127
+                    - --object-store-name=/tmp/ray/session_2025-12-23_16-32-23_815984_50/sockets/plasma_store
+                    - --raylet-name=/tmp/ray/session_2025-12-23_16-32-23_815984_50/sockets/raylet
+                    - --redis-address=None
+                    - --metrics-agent-port=55421
+                    - --logging-rotate-bytes=536870912
+                    - --logging-rotate-backup-count=5
+                    - --runtime-env-agent-port=57610
+                    - --gcs-address=10.119.28.18:60016
+                    - --session-name=session_2025-12-23_16-32-23_815984_50
+                    - --temp-dir=/tmp/ray
+                    - --webui=127.0.0.1:8265
+                    - --cluster-id=5dfab5a3c0e1d8d0ccf754cffb7e5ca8f9fe3a81cd066c1a35ed8d3e
+                    - --startup-token=112
+                    - --worker-launch-time-ms=1766478747426
+                    - --node-id=d0d0475765ddcac52c9d845f2aef91bdec5038a147077508d529148c
+                    - --runtime-env-hash=-839022692
+                cpu_count: 64
+                cpu_count_logical: 128
+                cudaVersion: "12.4"
+                disk:
+                    /:
+                        total: "5153960755200"
+                        used: "4349952"
+                email: haoyu-wa22@mails.tsinghua.edu.cn
+                executable: /root/local/miniconda3/envs/ragen/bin/python
+                git:
+                    commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
+                    remote: https://github.com/mll-lab-nu/RAGEN.git
+                gpu: NVIDIA H100 80GB HBM3
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-e2a04128-a80b-fb3a-5ee9-c5dba7df295c
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-f08adf9f-5ec4-2689-733a-69bb915cf2bf
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-5acd9470-2074-3de9-3170-043bbb8164d7
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-58ebe3c9-7574-74f8-30e9-437fabb9621f
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-100c1a6b-4cb7-1dad-215d-458b1d556ea2
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-91f28bf3-4426-fe95-7883-776aa9c3250e
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-cfef758f-0cc6-cbb2-bd39-cccffa06c1f1
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-53604749-45ad-a53c-e6bc-c4561faa4537
+                host: pt-c1f4308298fd4ab9a5485f05711cd43a-worker-0
+                memory:
+                    total: "2163642085376"
+                os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
+                program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
+                python: CPython 3.10.19
+                root: /mnt/general/wanghy/RAGEN
+                startedAt: "2025-12-23T08:35:11.467630Z"
+                writerId: 2vpxh3jij4jx0nxsqydtpdkdpdbzg159
+        m: []
+        python_version: 3.10.19
+        t:
+            "1":
+                - 1
+                - 5
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+            "2":
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+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
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+            "3":
+                - 2
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+            "4": 3.10.19
+            "5": 0.23.0
+            "6": 4.57.3
+            "12": 0.23.0
+            "13": linux-x86_64
+actor_rollout_ref:
+    value:
+        actor:
+            _target_: verl.workers.config.FSDPActorConfig
+            checkpoint:
+                _target_: verl.trainer.config.CheckpointConfig
+                async_save: false
+                load_contents:
+                    - model
+                    - optimizer
+                    - extra
+                save_contents:
+                    - model
+                    - optimizer
+                    - extra
+            clip_ratio: 0.2
+            clip_ratio_c: 3
+            clip_ratio_high: 0.28
+            clip_ratio_low: 0.2
+            entropy_checkpointing: false
+            entropy_coeff: 0.001
+            entropy_from_logits_with_chunking: false
+            freeze_vision_tower: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            grad_clip: 1
+            grpo_advantage_length_weight: false
+            kl_loss_coef: 0
+            kl_loss_type: kl
+            loss_agg_mode: token-mean
+            optim:
+                _target_: verl.workers.config.FSDPOptimizerConfig
+                betas:
+                    - 0.9
+                    - 0.999
+                clip_grad: 1
+                lr: 1e-06
+                lr_warmup_steps: -1
+                lr_warmup_steps_ratio: 0
+                min_lr_ratio: 0
+                num_cycles: 0.5
+                total_training_steps: 200
+                warmup_style: constant
+                weight_decay: 0.01
+            policy_loss:
+                _target_: verl.workers.config.PolicyLossConfig
+                clip_cov_lb: 1
+                clip_cov_ratio: 0.0002
+                clip_cov_ub: 5
+                kl_cov_ratio: 0.0002
+                loss_mode: vanilla
+                ppo_kl_coef: 0.1
+            ppo_epochs: 1
+            ppo_max_token_len_per_gpu: 16384
+            ppo_micro_batch_size: null
+            ppo_micro_batch_size_per_gpu: 1
+            ppo_mini_batch_size: 32
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            shuffle: false
+            strategy: fsdp
+            tis_imp_ratio_cap: -1
+            ulysses_sequence_parallel_size: 1
+            use_dynamic_bsz: false
+            use_fused_kernels: false
+            use_kl_loss: false
+            use_ref: true
+            use_remove_padding: false
+            use_torch_compile: true
+        hybrid_engine: true
+        model:
+            _target_: verl.workers.config.HFModelConfig
+            custom_chat_template: null
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            exclude_modules: null
+            external_lib: null
+            fused_kernel_options:
+                impl_backend: torch
+            hf_config_path: null
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/wanghy/SPA/sftckpt/checkpoints_8_2048-3B-text_with_coordinates-qwen/global_step_3200
+            target_modules: all-linear
+            tokenizer_path: null
+            torch_dtype: bfloat16
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_liger: false
+            use_remove_padding: false
+            use_shm: false
+        nccl_timeout: 600
+        ref:
+            entropy_checkpointing: false
+            entropy_from_logits_with_chunking: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            model: null
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            strategy: fsdp
+            ulysses_sequence_parallel_size: 1
+            use_torch_compile: true
+        rollout:
+            _target_: verl.workers.config.RolloutConfig
+            agent:
+                _target_: verl.workers.config.AgentLoopConfig
+                agent_loop_config_path: null
+                custom_async_server:
+                    _target_: verl.workers.config.CustomAsyncServerConfig
+                    name: null
+                    path: null
+                num_workers: 8
+            calculate_log_probs: false
+            cudagraph_capture_sizes: null
+            data_parallel_size: 1
+            disable_log_stats: true
+            do_sample: true
+            dtype: bfloat16
+            enable_chunked_prefill: true
+            enable_prefix_caching: true
+            enforce_eager: true
+            expert_parallel_size: 1
+            free_cache_engine: true
+            gpu_memory_utilization: 0.7
+            ignore_eos: false
+            layered_summon: false
+            load_format: dummy
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            max_model_len: 14400
+            max_num_batched_tokens: 16384
+            max_num_seqs: 1024
+            mode: sync
+            multi_stage_wake_up: false
+            multi_turn:
+                _target_: verl.workers.config.MultiTurnConfig
+                enable: false
+                format: hermes
+                interaction_config_path: null
+                max_assistant_turns: null
+                max_parallel_calls: 1
+                max_tool_response_length: 256
+                max_user_turns: null
+                num_repeat_rollouts: null
+                tokenization_sanity_check_mode: strict
+                tool_config_path: null
+                tool_response_truncate_side: middle
+                use_inference_chat_template: false
+            "n": 1
+            name: vllm
+            over_sample_rate: 0
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            prompt_length: 1
+            response_length: 256
+            rollout_filter_metric: reward_variance
+            rollout_filter_ratio: 0.25
+            rollout_filter_type: largest
+            skip_dump_dir: /tmp/rollout_dump
+            skip_rollout: false
+            skip_tokenizer_init: true
+            temperature: 1
+            tensor_model_parallel_size: 1
+            top_k: -1
+            top_p: 1
+            trace:
+                _target_: verl.workers.config.TraceConfig
+                backend: null
+                token2text: false
+            update_weights_bucket_megabytes: 512
+            val_kwargs:
+                _target_: verl.workers.config.SamplingConfig
+                do_sample: true
+                "n": 1
+                temperature: 0.5
+                top_k: -1
+                top_p: 1
+agent_proxy:
+    value:
+        action_sep: '||'
+        enable_think: true
+        max_actions_per_turn: 1
+        max_context_window: 5
+        max_turn: 700
+        reward_normalization:
+            grouping: state
+            method: identity
+        use_turn_scores: false
+algorithm:
+    value:
+        _target_: verl.trainer.config.AlgoConfig
+        adv_estimator: gae
+        bi_level_gae: false
+        gamma: 1
+        high_level_gamma: 0.95
+        kl_ctrl:
+            _target_: verl.trainer.config.KLControlConfig
+            horizon: 10000
+            kl_coef: 0
+            target_kl: 0.1
+            type: fixed
+        kl_penalty: kl
+        lam: 1
+        norm_adv_by_std_in_grpo: true
+        pf_ppo:
+            reweight_method: pow
+            weight_pow: 2
+        use_kl_in_reward: false
+        use_pf_ppo: false
+critic:
+    value:
+        _target_: verl.workers.config.FSDPCriticConfig
+        checkpoint:
+            _target_: verl.trainer.config.CheckpointConfig
+            async_save: false
+            load_contents:
+                - model
+                - optimizer
+                - extra
+            save_contents:
+                - model
+                - optimizer
+                - extra
+        cliprange_value: 0.5
+        enable: null
+        forward_max_token_len_per_gpu: 32768
+        forward_micro_batch_size: null
+        forward_micro_batch_size_per_gpu: 1
+        grad_clip: 1
+        loss_agg_mode: token-mean
+        model:
+            _target_: verl.workers.config.FSDPCriticModelCfg
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/wanghy/SPA/sftckpt/checkpoints_8_2048-3B-text_with_coordinates-qwen/global_step_3200
+            target_modules: all-linear
+            tokenizer_path: /mnt/general/wanghy/SPA/sftckpt/checkpoints_8_2048-3B-text_with_coordinates-qwen/global_step_3200
+            trust_remote_code: false
+            use_remove_padding: false
+            use_shm: false
+        optim:
+            _target_: verl.workers.config.FSDPOptimizerConfig
+            betas:
+                - 0.9
+                - 0.999
+            clip_grad: 1
+            lr: 1e-05
+            lr_warmup_steps: -1
+            lr_warmup_steps_ratio: 0
+            min_lr_ratio: 0
+            num_cycles: 0.5
+            total_training_steps: 200
+            warmup_style: constant
+            weight_decay: 0.01
+        ppo_epochs: 1
+        ppo_max_token_len_per_gpu: 32768
+        ppo_micro_batch_size: null
+        ppo_micro_batch_size_per_gpu: 1
+        ppo_mini_batch_size: 32
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        rollout_n: 1
+        shuffle: false
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+ctx_manager:
+    value:
+        generation:
+            gen_config:
+                kwargs: null
+                response_length: 256
+                temperature: 1
+                top_k: -1
+                top_p: 1
+custom_envs:
+    value:
+        Bandit:
+            env_config:
+                split: train
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        BanditTest:
+            env_config:
+                split: test
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        CoordFrozenLake:
+            env_config:
+                observation_format: grid_coord
+            env_instruction: |
+                You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
+                Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
+                Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
+                Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 120
+        CoordSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+                observation_format: grid_coord
+            env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 120
+        Countdown:
+            env_config: null
+            env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+            env_type: countdown
+            max_actions_per_traj: 1
+            max_tokens: 100
+        FrozenLake:
+            env_config: null
+            env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 100
+        LargerSokoban:
+            env_config:
+                dim_x: 8
+                dim_y: 8
+                max_steps: 100
+                num_boxes: 2
+                search_depth: 10
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        Lean:
+            env_config: null
+            env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
+            env_type: lean
+            max_actions_per_traj: 30
+            max_tokens: 512
+        MediumSudoku:
+            env_config:
+                difficulty: medium
+                grid_size: 9
+                max_steps: 81
+                render_format: with_feedback
+                show_conflicts: true
+                show_valid_numbers: true
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 30
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        MetamathQA:
+            env_config: null
+            env_instruction: 'You are solving Math problems. '
+            env_type: metamathqa
+            max_actions_per_traj: 1
+            max_tokens: 100
+        SimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        SimpleSudoku:
+            env_config:
+                difficulty: easy
+                grid_size: 4
+                max_steps: 20
+                render_format: with_feedback
+                show_conflicts: false
+                show_valid_numbers: false
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 20
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        SokobanDifferentGridVocab:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                grid_lookup:
+                    "0": W
+                    "1": .
+                    "2": G
+                    "3": C
+                    "4": B
+                    "5": A
+                    "6": '@'
+                grid_vocab:
+                    .: empty
+                    '@': player on target
+                    A: player
+                    B: box
+                    C: box on target
+                    G: target
+                    W: wall
+                max_steps: 100
+                num_boxes: 1
+                search_depth: 30
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        VisualSimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 1
+                render_mode: rgb_array
+            env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        WebShop:
+            env_config:
+                dataset: small
+            env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later.  Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+            env_type: webshop
+            max_actions_per_traj: 9
+            max_tokens: 200
+        blackjack:
+            env_config: null
+            env_instruction: |
+                You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
+                Choose either Stick or Hit. Respond with a single action.
+                Example: <answer>Hit</answer>
+            env_type: blackjack
+            max_actions_per_traj: 10
+            max_tokens: 64
+        game_2048:
+            env_config: null
+            env_instruction: 'You are playing the 2048 game on a 4x4 grid.\nMerge equal tiles by sliding Up, Right, Down, or Left.\nUse a zero-indexed grid where (0,0) is top-left and (3,3) is bottom-right.\nIf a move is invalid (no tiles move), a small penalty is applied.\n\nExample answer format:\n<think>\n<observation>\n[Current Grid Symbol Representation]\nTile values and positions: 2 at (0,0), 2 at (0,1), 4 at (3,3).\n</observation>\nI want to merge the two 2s in the top row. Sliding Right will merge them at (0,3).\n<prediction>\n[Predicted Grid Symbol Representation after move]\nPredicted changes: The 2 at (0,0) and 2 at (0,1) merge into a 4 at (0,3). (3,3) remains 4.\n</prediction>\n</think>\n<answer>Right</answer>\n\nA sample full output is as follows:\n<think>\n<observation>\n2 2 . .\n. . . .\n. . . .\n. . . 4\nNon-empty tiles: 2 at (0,0), 2 at (0,1), 4 at (3,3).\n</observation>\nChecking moves:\nUp: No merge.\nRight: (0,0) and (0,1) are equal (2), they will merge to the right.\n<prediction>\n. . . 4\n. . . .\n. . . .\n. . . 4\nMerged tile 4 created at (0,3). Tile at (3,3) stays.\n</prediction>\n</think>\n<answer>Right</answer>'
+            env_type: game_2048
+            max_actions_per_traj: 700
+            max_tokens: 8192
+        rubikscube:
+            env_config:
+                max_steps: 20
+                render_mode: text
+                scramble_depth: 1
+            env_instruction: |
+                You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
+                Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
+                - Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
+                - Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
+                Respond with a sequence of actions separated by "||".
+                Example: <answer>U</answer>
+            env_type: rubikscube
+            max_actions_per_traj: 20
+            max_tokens: 96
+custom_reward_function:
+    value:
+        name: compute_score
+        path: null
+data:
+    value:
+        custom_cls:
+            name: null
+            path: null
+        datagen:
+            name: null
+            path: null
+        dataloader_num_workers: 8
+        filter_overlong_prompts: false
+        filter_overlong_prompts_workers: 1
+        image_key: images
+        max_prompt_length: null
+        max_response_length: null
+        prompt_key: prompt
+        return_full_prompt: false
+        return_multi_modal_inputs: true
+        return_raw_chat: false
+        return_raw_input_ids: false
+        reward_fn_key: data_source
+        sampler:
+            class_name: null
+            class_path: null
+        shuffle: true
+        tokenizer: null
+        train_batch_size: 128
+        train_files: ~/data/rlhf/gsm8k/train.parquet
+        truncation: error
+        trust_remote_code: false
+        use_shm: false
+        val_batch_size: null
+        val_files: ~/data/rlhf/gsm8k/test.parquet
+        validation_shuffle: false
+        video_key: videos
+enable_response_mask:
+    value: true
+es_manager:
+    value:
+        format_penalty: -0.1
+        train:
+            env_configs:
+                n_groups:
+                    - 8
+                tags:
+                    - game_2048
+            env_groups: 8
+            group_size: 16
+        val:
+            env_configs:
+                n_groups:
+                    - 256
+                tags:
+                    - game_2048
+            env_groups: 256
+            group_size: 1
+global_profiler:
+    value:
+        _target_: verl.utils.profiler.ProfilerConfig
+        global_tool_config:
+            nsys:
+                _target_: verl.utils.profiler.config.NsightToolConfig
+                controller_nsight_options:
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    trace: cuda,nvtx,cublas,ucx
+                discrete: false
+                worker_nsight_options:
+                    capture-range: cudaProfilerApi
+                    capture-range-end: null
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    kill: none
+                    trace: cuda,nvtx,cublas,ucx
+            torch_memory:
+                context: all
+                stack_depth: 32
+                stacks: all
+                trace_alloc_max_entries: 100000
+        profile_continuous_steps: false
+        save_path: outputs/profile
+        steps: null
+        tool: null
+grpo_advantage_length_weight:
+    value: false
+lora:
+    value:
+        alpha: 16
+        rank: 0
+        target_modules: all-linear
+micro_batch_size_per_gpu:
+    value: 1
+model_path:
+    value: /mnt/general/wanghy/SPA/sftckpt/checkpoints_8_2048-3B-text_with_coordinates-qwen/global_step_3200
+ppo_mini_batch_size:
+    value: 32
+ray_kwargs:
+    value:
+        ray_init:
+            num_cpus: null
+        timeline_json_file: null
+reward_model:
+    value:
+        enable: false
+        enable_resource_pool: false
+        forward_max_token_len_per_gpu: 32768
+        launch_reward_fn_async: false
+        max_length: null
+        micro_batch_size: null
+        micro_batch_size_per_gpu: null
+        model:
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                forward_prefetch: false
+                fsdp_size: -1
+                param_offload: false
+                reshard_after_forward: true
+                wrap_policy:
+                    min_num_params: 0
+            input_tokenizer: /mnt/general/wanghy/SPA/sftckpt/checkpoints_8_2048-3B-text_with_coordinates-qwen/global_step_3200
+            path: ~/models/FsfairX-LLaMA3-RM-v0.1
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_remove_padding: false
+            use_shm: false
+        n_gpus_per_node: 0
+        nnodes: 0
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        reward_manager: naive
+        sandbox_fusion:
+            max_concurrent: 64
+            memory_limit_mb: 1024
+            url: null
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+seed:
+    value:
+        train: 10000
+        val: 123
+system:
+    value:
+        CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
+trainer:
+    value:
+        balance_batch: true
+        critic_warmup: 0
+        default_hdfs_dir: null
+        default_local_dir: /mnt/general/wanghy/RAGEN/saves/
+        del_local_ckpt_after_load: false
+        device: cuda
+        esi_redundant_time: 0
+        experiment_name: _2048_starpo_SPA
+        generations_to_log_to_wandb:
+            train: 128
+            val: 20
+        local_log_dir: results/
+        log_val_generations: 0
+        logger:
+            - console
+            - wandb
+        max_actor_ckpt_to_keep: 1
+        max_critic_ckpt_to_keep: 1
+        n_gpus_per_node: 8
+        nnodes: 1
+        project_name: ragen_latest_qwen_25_3b_it
+        ray_wait_register_center_timeout: 300
+        resume_from_path: null
+        resume_mode: auto
+        rollout_data_dir: null
+        save_freq: -1
+        test_freq: 10
+        total_epochs: 30
+        total_training_steps: 200
+        use_legacy_worker_impl: auto
+        val_before_train: true
+        val_only: false
+        validation_data_dir: null
+        validation_steps: 1

wandb/run-20251223_163511-si2a1ssh/files/requirements.txt

@@ -0,0 +1,313 @@
+ragen==0.1
+ragen==0.1
+colorama==0.4.6
+psutil==7.1.3
+Farama-Notifications==0.0.4
+MarkupSafe==2.1.5
+PyJWT==2.10.1
+PySocks==1.7.1
+absl-py==2.3.1
+accelerate==1.12.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.2
+aiohttp-cors==0.8.1
+aiosignal==1.4.0
+airportsdata==20250909
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anthropic==0.75.0
+antlr4-python3-runtime==4.9.3
+anyio==4.12.0
+astor==0.8.1
+asttokens==3.0.1
+async-timeout==5.0.1
+attrs==25.4.0
+beautifulsoup4==4.14.3
+black==25.11.0
+blake3==1.0.8
+blinker==1.9.0
+blis==1.3.3
+cachetools==6.2.2
+catalogue==2.0.10
+certifi==2025.11.12
+cffi==2.0.0
+charset-normalizer==3.4.4
+cleantext==1.1.4
+click==8.2.1
+cloudpathlib==0.23.0
+cloudpickle==3.1.2
+codetiming==1.4.0
+colorama==0.4.6
+coloredlogs==15.0.1
+colorful==0.5.8
+compressed-tensors==0.9.3
+confection==0.1.5
+contourpy==1.3.2
+cryptography==46.0.3
+cupy-cuda12x==13.6.0
+cycler==0.12.1
+cymem==2.0.13
+Cython==3.2.2
+datasets==4.4.1
+debugpy==1.8.17
+decorator==5.2.1
+Deprecated==1.3.1
+depyf==0.18.0
+dill==0.4.0
+diskcache==5.6.3
+distlib==0.4.0
+distro==1.9.0
+dnspython==2.8.0
+docstring_parser==0.17.0
+einops==0.8.1
+email-validator==2.3.0
+eval_type_backport==0.2.2
+exceptiongroup==1.3.1
+executing==2.2.1
+faiss-gpu==1.7.2
+fastapi==0.123.1
+fastapi-cli==0.0.16
+fastapi-cloud-cli==0.5.2
+fastar==0.8.0
+fastrlock==0.8.3
+filelock==3.19.1
+flash_attn==2.8.3
+Flask==3.1.2
+flatbuffers==25.9.23
+fonttools==4.61.0
+frozenlist==1.8.0
+fsspec==2025.9.0
+gdown==5.2.0
+gguf==0.17.1
+gitdb==4.0.12
+GitPython==3.1.45
+google-api-core==2.28.1
+google-auth==2.43.0
+googleapis-common-protos==1.72.0
+grpcio==1.76.0
+gym==0.26.2
+gym-notices==0.1.0
+gym-sokoban==0.0.6
+gymnasium==1.2.2
+h11==0.16.0
+hf-xet==1.2.0
+html2text==2025.4.15
+httpcore==1.0.9
+httptools==0.7.1
+httpx==0.28.1
+httpx-sse==0.4.3
+huggingface-hub==0.36.0
+humanfriendly==10.0
+hydra-core==1.3.2
+idna==3.11
+ImageIO==2.37.2
+importlib_metadata==8.0.0
+interegular==0.3.3
+ipython==8.37.0
+itsdangerous==2.2.0
+jedi==0.19.2
+Jinja2==3.1.6
+jiter==0.12.0
+joblib==1.5.2
+jsonschema==4.25.1
+jsonschema-specifications==2025.9.1
+kimina-client==0.2.1
+kiwisolver==1.4.9
+lark==1.2.2
+llguidance==0.7.30
+llvmlite==0.44.0
+lm-format-enforcer==0.10.12
+loguru==0.7.3
+Markdown==3.10
+markdown-it-py==4.0.0
+matplotlib==3.10.7
+matplotlib-inline==0.2.1
+mcp==1.22.0
+mdurl==0.1.2
+mistral_common==1.8.6
+mpmath==1.3.0
+msgpack==1.1.2
+msgspec==0.20.0
+multidict==6.7.0
+multiprocess==0.70.18
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+nest-asyncio==1.6.0
+networkx==3.3
+ninja==1.13.0
+nltk==3.9.2
+numba==0.61.2
+numpy==1.26.4
+nvidia-cublas-cu12==12.4.5.8
+nvidia-cuda-cupti-cu12==12.4.127
+nvidia-cuda-nvrtc-cu12==12.4.127
+nvidia-cuda-runtime-cu12==12.4.127
+nvidia-cudnn-cu12==9.1.0.70
+nvidia-cufft-cu12==11.2.1.3
+nvidia-curand-cu12==10.3.5.147
+nvidia-cusolver-cu12==11.6.1.9
+nvidia-cusparse-cu12==12.3.1.170
+nvidia-cusparselt-cu12==0.6.2
+nvidia-nccl-cu12==2.21.5
+nvidia-nvjitlink-cu12==12.4.127
+nvidia-nvtx-cu12==12.4.127
+omegaconf==2.3.0
+onnxruntime==1.23.2
+openai==2.8.1
+opencensus==0.11.4
+opencensus-context==0.1.3
+opencv-python-headless==4.12.0.88
+opentelemetry-api==1.38.0
+opentelemetry-exporter-otlp==1.26.0
+opentelemetry-exporter-otlp-proto-common==1.26.0
+opentelemetry-exporter-otlp-proto-grpc==1.26.0
+opentelemetry-exporter-otlp-proto-http==1.26.0
+opentelemetry-exporter-prometheus==0.59b0
+opentelemetry-proto==1.26.0
+opentelemetry-sdk==1.38.0
+opentelemetry-semantic-conventions==0.59b0
+opentelemetry-semantic-conventions-ai==0.4.13
+orjson==3.11.4
+outlines==0.1.11
+outlines_core==0.1.26
+packaging==25.0
+pandas==2.3.3
+parso==0.8.5
+partial-json-parser==0.2.1.1.post7
+pathspec==0.12.1
+peft==0.18.0
+pexpect==4.9.0
+pillow==11.3.0
+pip==25.3
+platformdirs==4.5.0
+preshed==3.0.12
+prometheus_client==0.23.1
+prometheus-fastapi-instrumentator==7.1.0
+prompt_toolkit==3.0.52
+propcache==0.4.1
+proto-plus==1.26.1
+protobuf==4.25.8
+psutil==7.1.3
+ptyprocess==0.7.0
+pure_eval==0.2.3
+py-cpuinfo==9.0.0
+py-spy==0.4.1
+pyarrow==22.0.0
+pyasn1==0.6.1
+pyasn1_modules==0.4.2
+pybind11==3.0.1
+pycountry==24.6.1
+pycparser==2.23
+pydantic==2.12.5
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