diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_X_host.npy b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_X_host.npy
deleted file mode 100644
index 722b5753e14a00821713722d4d650e78b9c62831..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_X_host.npy
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0f4f0efb8956f36a640001658e7b136381d948f1ac28915aef4ff38d3f2a8e0c
-size 378564
diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_gen.py b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_gen.py
deleted file mode 100644
index d36b4bca0eb638baa082f484ddeb6c63c663652a..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_gen.py
+++ /dev/null
@@ -1,8 +0,0 @@
-
-import joblib, pandas as pd
-m, meta = joblib.load(r'/work/output-SpecializedModels/c4/forestdiffusion/forest-c4-20260423_044547/forestdiffusion_model.joblib')
-# generate：batch_size 为样本数
-arr = m.generate(batch_size=int(2557))
-df = pd.DataFrame(arr, columns=meta["column_names"])
-df.to_csv(r'/work/output-SpecializedModels/c4/forestdiffusion/forest-c4-20260423_044547/forest-c4-2557-20260423_113411.csv', index=False)
-print("saved", len(df))
diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_meta_host.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_meta_host.json
deleted file mode 100644
index 12e94d385ff03622f307ddba85a878ac99ea999e..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_meta_host.json
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f3f8f9c1f327e456672803fec9cb2f3f7bd5eb85999f1873f4e56ac8b6a16887
-size 502
diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_train.py b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_train.py
deleted file mode 100644
index cc93be265a0067d97981cf862c44c284d87b987b..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/_fd_train.py
+++ /dev/null
@@ -1,20 +0,0 @@
-
-import shutil, json
-shutil.copy(r'/work/output-SpecializedModels/c4/forestdiffusion/forest-c4-20260423_044547/_fd_X_host.npy', '/tmp/fd_X.npy')
-with open(r'/work/output-SpecializedModels/c4/forestdiffusion/forest-c4-20260423_044547/_fd_meta_host.json') as f:
-    open('/tmp/fd_meta.json','w').write(f.read())
-
-import numpy as np, joblib, json, os
-from ForestDiffusion import ForestDiffusionModel
-X = np.load("/tmp/fd_X.npy")
-with open("/tmp/fd_meta.json") as f:
-    meta = json.load(f)
-cat_indexes = meta["cat_indexes"]
-m = ForestDiffusionModel(
-    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
-    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
-)
-joblib.dump((m, meta), "/tmp/fd_model.joblib")
-print("ForestDiffusion train OK")
-
-shutil.copy('/tmp/fd_model.joblib', r'/work/output-SpecializedModels/c4/forestdiffusion/forest-c4-20260423_044547/forestdiffusion_model.joblib')
diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/forest-c4-2557-20260423_113411.csv b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/forest-c4-2557-20260423_113411.csv
deleted file mode 100644
index e66977aaf4ee208f4c94370d65a5e15599fc2db7..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/forest-c4-2557-20260423_113411.csv
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/forestdiffusion_model.joblib b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/forestdiffusion_model.joblib
deleted file mode 100644
index dd9cdef327f43a3862d69eb46373dbba3e8212bd..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/forestdiffusion_model.joblib
+++ /dev/null
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-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/input_snapshot.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/input_snapshot.json
deleted file mode 100644
index 2f284ea7c3d2ac8a554f4be27d37744a05d98692..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/input_snapshot.json
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-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/models_fd/model.joblib b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/models_fd/model.joblib
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index dd9cdef327f43a3862d69eb46373dbba3e8212bd..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/models_fd/model.joblib
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-version https://git-lfs.github.com/spec/v1
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-size 337184967
diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/public_gate/normalized_schema_snapshot.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/public_gate/normalized_schema_snapshot.json
deleted file mode 100644
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--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/public_gate/normalized_schema_snapshot.json
+++ /dev/null
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-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/public_gate/public_gate_report.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/public_gate/public_gate_report.json
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--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/public_gate/public_gate_report.json
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-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/runtime_result.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/runtime_result.json
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/adapter_report.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/adapter_report.json
deleted file mode 100644
index 5b6e11a536bc6345cac6d9c1751ddac39db3db19..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/adapter_report.json
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/adapter_transforms_applied.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/adapter_transforms_applied.json
deleted file mode 100644
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--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/adapter_transforms_applied.json
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--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/forestdiffusion/model_input_manifest.json
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/staged_features.json b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/staged_features.json
deleted file mode 100644
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--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/staged_features.json
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deleted file mode 100644
index c1a249cc239b5f63216e8c8fdc5cad047fcef9fe..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/test.csv
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-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/train.csv b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/train.csv
deleted file mode 100644
index 03fdc1001e64b461351da7514bf2694f42778f6b..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/train.csv
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/val.csv b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/staged/public/val.csv
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diff --git a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/train_20260423_044547.log b/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/train_20260423_044547.log
deleted file mode 100644
index fa5ae33bc19c1dc61a8a91b311d0c95ab95f842b..0000000000000000000000000000000000000000
--- a/5090-Success/c4/forestdiffusion/forest-c4-20260423_044547/train_20260423_044547.log
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/_tabbyflow_gen.py b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/_tabbyflow_gen.py
deleted file mode 100644
index a9cd5b9c8957c545195d1f19f7a56053158028d2..0000000000000000000000000000000000000000
--- a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/_tabbyflow_gen.py
+++ /dev/null
@@ -1,33 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/m12/tabbyflow/tabbyflow-m12-20260424_001513/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(root, "data", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-dst_syn = os.path.join(root, "synthetic", name)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "test", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_tabbyflow-m12-20260424_001513",
-    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-m12-20260424_001513/model_500.pt",
-    "--num_samples_to_generate", str(int(95512)),
-])
-base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-m12-20260424_001513")
-best = None
-best_t = -1.0
-for r, _, files in os.walk(base):
-    if "samples.csv" in files:
-        p = os.path.join(r, "samples.csv")
-        t = os.path.getmtime(p)
-        if t > best_t:
-            best_t, best = t, p
-if not best:
-    raise SystemExit("tabbyflow: no samples.csv in " + base)
-shutil.copy(best, r"/work/output-SpecializedModels/m12/tabbyflow/tabbyflow-m12-20260424_001513/tabbyflow-m12-95512-20260424_004422.csv")
diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/_tabbyflow_train.py b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/_tabbyflow_train.py
deleted file mode 100644
index 2d75dc964d1d9d07966c42630650319069898e1d..0000000000000000000000000000000000000000
--- a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/_tabbyflow_train.py
+++ /dev/null
@@ -1,22 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/m12/tabbyflow/tabbyflow-m12-20260424_001513/tabular_bundle/pipeline_ds"
-os.makedirs(os.path.join(root, "data", name), exist_ok=True)
-dst_data = os.path.join(root, "data", name)
-dst_syn = os.path.join(root, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-os.environ["EFVFM_SMOKE_STEPS"] = "500"
-os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "train", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_tabbyflow-m12-20260424_001513",
-])
diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/input_snapshot.json b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/input_snapshot.json
deleted file mode 100644
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--- a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/input_snapshot.json
+++ /dev/null
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diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/models_tabbyflow/trained.pt b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/models_tabbyflow/trained.pt
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--- a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/models_tabbyflow/trained.pt
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diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/normalized_schema_snapshot.json b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/normalized_schema_snapshot.json
deleted file mode 100644
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--- a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/normalized_schema_snapshot.json
+++ /dev/null
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diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/public_gate_report.json b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/public_gate_report.json
deleted file mode 100644
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--- a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/public_gate_report.json
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diff --git a/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/staged_input_manifest.json b/5090-Success/m12/tabbyflow/tabbyflow-m12-20260424_001513/public_gate/staged_input_manifest.json
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diff --git a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_X_host.npy b/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_X_host.npy
deleted file mode 100644
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--- a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_X_host.npy
+++ /dev/null
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-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_gen.py b/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_gen.py
deleted file mode 100644
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--- a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_gen.py
+++ /dev/null
@@ -1,8 +0,0 @@
-
-import joblib, pandas as pd
-m, meta = joblib.load(r'/work/output-SpecializedModels/m6/forestdiffusion/forest-m6-20260425_023058/forestdiffusion_model.joblib')
-# generate：batch_size 为样本数
-arr = m.generate(batch_size=int(9864))
-df = pd.DataFrame(arr, columns=meta["column_names"])
-df.to_csv(r'/work/output-SpecializedModels/m6/forestdiffusion/forest-m6-20260425_023058/forest-m6-9864-20260425_200111.csv', index=False)
-print("saved", len(df))
diff --git a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_meta_host.json b/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_meta_host.json
deleted file mode 100644
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--- a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_meta_host.json
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_train.py b/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_train.py
deleted file mode 100644
index ba3745fee353a53decfc530160a2ea98e4d593b8..0000000000000000000000000000000000000000
--- a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/_fd_train.py
+++ /dev/null
@@ -1,20 +0,0 @@
-
-import shutil, json
-shutil.copy(r'/work/output-SpecializedModels/m6/forestdiffusion/forest-m6-20260425_023058/_fd_X_host.npy', '/tmp/fd_X.npy')
-with open(r'/work/output-SpecializedModels/m6/forestdiffusion/forest-m6-20260425_023058/_fd_meta_host.json') as f:
-    open('/tmp/fd_meta.json','w').write(f.read())
-
-import numpy as np, joblib, json, os
-from ForestDiffusion import ForestDiffusionModel
-X = np.load("/tmp/fd_X.npy")
-with open("/tmp/fd_meta.json") as f:
-    meta = json.load(f)
-cat_indexes = meta["cat_indexes"]
-m = ForestDiffusionModel(
-    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
-    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
-)
-joblib.dump((m, meta), "/tmp/fd_model.joblib")
-print("ForestDiffusion train OK")
-
-shutil.copy('/tmp/fd_model.joblib', r'/work/output-SpecializedModels/m6/forestdiffusion/forest-m6-20260425_023058/forestdiffusion_model.joblib')
diff --git a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/forest-m6-9864-20260425_200111.csv b/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/forest-m6-9864-20260425_200111.csv
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--- a/5090-Success/m6/forestdiffusion/forest-m6-20260425_023058/forest-m6-9864-20260425_200111.csv
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--- a/5090-Success/m6/tabbyflow/tabbyflow-m6-20260420_101944/_tabbyflow_gen.py
+++ /dev/null
@@ -1,33 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/m6/tabbyflow/tabbyflow-m6-20260420_101944/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(root, "data", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-dst_syn = os.path.join(root, "synthetic", name)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "test", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_efvfm",
-    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_efvfm/model_500.pt",
-    "--num_samples_to_generate", str(int(9864)),
-])
-base = os.path.join(root, "ef_vfm", "result", name, r"adapter_efvfm")
-best = None
-best_t = -1.0
-for r, _, files in os.walk(base):
-    if "samples.csv" in files:
-        p = os.path.join(r, "samples.csv")
-        t = os.path.getmtime(p)
-        if t > best_t:
-            best_t, best = t, p
-if not best:
-    raise SystemExit("tabbyflow: no samples.csv in " + base)
-shutil.copy(best, r"/work/output-SpecializedModels/m6/tabbyflow/tabbyflow-m6-20260420_101944/tabbyflow-m6-9864-20260420_102622.csv")
diff --git a/5090-Success/m6/tabbyflow/tabbyflow-m6-20260420_101944/_tabbyflow_train.py b/5090-Success/m6/tabbyflow/tabbyflow-m6-20260420_101944/_tabbyflow_train.py
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--- a/5090-Success/m6/tabbyflow/tabbyflow-m6-20260420_101944/_tabbyflow_train.py
+++ /dev/null
@@ -1,22 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/m6/tabbyflow/tabbyflow-m6-20260420_101944/tabular_bundle/pipeline_ds"
-os.makedirs(os.path.join(root, "data", name), exist_ok=True)
-dst_data = os.path.join(root, "data", name)
-dst_syn = os.path.join(root, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-os.environ["EFVFM_SMOKE_STEPS"] = "500"
-os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "train", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_efvfm",
-])
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diff --git a/5090-Success/m6/tabdiff/tabdiff-m6-20260420_101242/_tabdiff_gen.py b/5090-Success/m6/tabdiff/tabdiff-m6-20260420_101242/_tabdiff_gen.py
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--- a/5090-Success/m6/tabdiff/tabdiff-m6-20260420_101242/_tabdiff_gen.py
+++ /dev/null
@@ -1,36 +0,0 @@
-
-import os, shutil, subprocess, sys
-td = r"/workspace/TabDiff"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/m6/tabdiff/tabdiff-m6-20260420_101242/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(td, "data", name)
-dst_syn = os.path.join(td, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(td)
-os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
-subprocess.check_call([
-    sys.executable, "-m", "tabdiff.main",
-    "--dataname", name, "--mode", "test", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_learnable",
-    "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_ds/adapter_learnable/model_500.pt",
-    "--num_samples_to_generate", str(int(9864)),
-])
-# test() 写入 tabdiff/result/<dataname>/<exp>/<epoch>/samples.csv
-import glob as g
-base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable")
-best = None
-best_t = -1.0
-for root, _, files in os.walk(base):
-    if "samples.csv" in files:
-        p = os.path.join(root, "samples.csv")
-        t = os.path.getmtime(p)
-        if t > best_t:
-            best_t = t
-            best = p
-if not best:
-    raise SystemExit("tabdiff: no samples.csv under " + base)
-shutil.copy(best, r"/work/output-SpecializedModels/m6/tabdiff/tabdiff-m6-20260420_101242/tabdiff-m6-9864-20260420_101935.csv")
diff --git a/5090-Success/m6/tabdiff/tabdiff-m6-20260420_101242/_tabdiff_train.py b/5090-Success/m6/tabdiff/tabdiff-m6-20260420_101242/_tabdiff_train.py
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--- a/5090-Success/m6/tabdiff/tabdiff-m6-20260420_101242/_tabdiff_train.py
+++ /dev/null
@@ -1,21 +0,0 @@
-
-import os, shutil, subprocess, sys
-td = r"/workspace/TabDiff"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/m6/tabdiff/tabdiff-m6-20260420_101242/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(td, "data", name)
-dst_syn = os.path.join(td, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(td)
-os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
-os.environ["TABDIFF_SMOKE_STEPS"] = "500"
-os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
-subprocess.check_call([
-    sys.executable, "-m", "tabdiff.main",
-    "--dataname", name, "--mode", "train", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_learnable",
-])
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deleted file mode 100644
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--- a/5090-Success/n4/tabbyflow/tabbyflow-n4-20260424_004926/_tabbyflow_gen.py
+++ /dev/null
@@ -1,33 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/n4/tabbyflow/tabbyflow-n4-20260424_004926/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(root, "data", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-dst_syn = os.path.join(root, "synthetic", name)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "test", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n4-20260424_004926",
-    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-n4-20260424_004926/model_500.pt",
-    "--num_samples_to_generate", str(int(1595)),
-])
-base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-n4-20260424_004926")
-best = None
-best_t = -1.0
-for r, _, files in os.walk(base):
-    if "samples.csv" in files:
-        p = os.path.join(r, "samples.csv")
-        t = os.path.getmtime(p)
-        if t > best_t:
-            best_t, best = t, p
-if not best:
-    raise SystemExit("tabbyflow: no samples.csv in " + base)
-shutil.copy(best, r"/work/output-SpecializedModels/n4/tabbyflow/tabbyflow-n4-20260424_004926/tabbyflow-n4-1595-20260424_005118.csv")
diff --git a/5090-Success/n4/tabbyflow/tabbyflow-n4-20260424_004926/_tabbyflow_train.py b/5090-Success/n4/tabbyflow/tabbyflow-n4-20260424_004926/_tabbyflow_train.py
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--- a/5090-Success/n4/tabbyflow/tabbyflow-n4-20260424_004926/_tabbyflow_train.py
+++ /dev/null
@@ -1,22 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/n4/tabbyflow/tabbyflow-n4-20260424_004926/tabular_bundle/pipeline_ds"
-os.makedirs(os.path.join(root, "data", name), exist_ok=True)
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-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-os.environ["EFVFM_SMOKE_STEPS"] = "500"
-os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "train", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n4-20260424_004926",
-])
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diff --git a/5090-Success/n4/tabdiff/tabdiff-n4-20260427_162220/_tabdiff_gen.py b/5090-Success/n4/tabdiff/tabdiff-n4-20260427_162220/_tabdiff_gen.py
deleted file mode 100644
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--- a/5090-Success/n4/tabdiff/tabdiff-n4-20260427_162220/_tabdiff_gen.py
+++ /dev/null
@@ -1,36 +0,0 @@
-
-import os, shutil, subprocess, sys
-td = r"/workspace/TabDiff"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/n4/tabdiff/tabdiff-n4-20260427_162220/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(td, "data", name)
-dst_syn = os.path.join(td, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(td)
-os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
-subprocess.check_call([
-    sys.executable, "-m", "tabdiff.main",
-    "--dataname", name, "--mode", "test", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_learnable",
-    "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_ds/adapter_learnable/model_500.pt",
-    "--num_samples_to_generate", str(int(1595)),
-])
-# test() 写入 tabdiff/result/<dataname>/<exp>/<epoch>/samples.csv
-import glob as g
-base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable")
-best = None
-best_t = -1.0
-for root, _, files in os.walk(base):
-    if "samples.csv" in files:
-        p = os.path.join(root, "samples.csv")
-        t = os.path.getmtime(p)
-        if t > best_t:
-            best_t = t
-            best = p
-if not best:
-    raise SystemExit("tabdiff: no samples.csv under " + base)
-shutil.copy(best, r"/work/output-SpecializedModels/n4/tabdiff/tabdiff-n4-20260427_162220/tabdiff-n4-1595-20260428_051501.csv")
diff --git a/5090-Success/n4/tabdiff/tabdiff-n4-20260427_162220/_tabdiff_train.py b/5090-Success/n4/tabdiff/tabdiff-n4-20260427_162220/_tabdiff_train.py
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--- a/5090-Success/n4/tabdiff/tabdiff-n4-20260427_162220/_tabdiff_train.py
+++ /dev/null
@@ -1,21 +0,0 @@
-
-import os, shutil, subprocess, sys
-td = r"/workspace/TabDiff"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/n4/tabdiff/tabdiff-n4-20260427_162220/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(td, "data", name)
-dst_syn = os.path.join(td, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(td)
-os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
-os.environ["TABDIFF_SMOKE_STEPS"] = "500"
-os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
-subprocess.check_call([
-    sys.executable, "-m", "tabdiff.main",
-    "--dataname", name, "--mode", "train", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_learnable",
-])
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diff --git a/5090-Success/n8/tabbyflow/tabbyflow-n8-20260424_010110/_tabbyflow_gen.py b/5090-Success/n8/tabbyflow/tabbyflow-n8-20260424_010110/_tabbyflow_gen.py
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--- a/5090-Success/n8/tabbyflow/tabbyflow-n8-20260424_010110/_tabbyflow_gen.py
+++ /dev/null
@@ -1,33 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/n8/tabbyflow/tabbyflow-n8-20260424_010110/tabular_bundle/pipeline_ds"
-dst_data = os.path.join(root, "data", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-dst_syn = os.path.join(root, "synthetic", name)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "test", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n8-20260424_010110",
-    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-n8-20260424_010110/model_500.pt",
-    "--num_samples_to_generate", str(int(1253)),
-])
-base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-n8-20260424_010110")
-best = None
-best_t = -1.0
-for r, _, files in os.walk(base):
-    if "samples.csv" in files:
-        p = os.path.join(r, "samples.csv")
-        t = os.path.getmtime(p)
-        if t > best_t:
-            best_t, best = t, p
-if not best:
-    raise SystemExit("tabbyflow: no samples.csv in " + base)
-shutil.copy(best, r"/work/output-SpecializedModels/n8/tabbyflow/tabbyflow-n8-20260424_010110/tabbyflow-n8-1253-20260424_012600.csv")
diff --git a/5090-Success/n8/tabbyflow/tabbyflow-n8-20260424_010110/_tabbyflow_train.py b/5090-Success/n8/tabbyflow/tabbyflow-n8-20260424_010110/_tabbyflow_train.py
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--- a/5090-Success/n8/tabbyflow/tabbyflow-n8-20260424_010110/_tabbyflow_train.py
+++ /dev/null
@@ -1,22 +0,0 @@
-
-import os, shutil, subprocess, sys
-root = r"/workspace/ef-vfm"
-name = r"pipeline_ds"
-src = r"/work/output-SpecializedModels/n8/tabbyflow/tabbyflow-n8-20260424_010110/tabular_bundle/pipeline_ds"
-os.makedirs(os.path.join(root, "data", name), exist_ok=True)
-dst_data = os.path.join(root, "data", name)
-dst_syn = os.path.join(root, "synthetic", name)
-shutil.rmtree(dst_data, ignore_errors=True)
-shutil.copytree(src, dst_data)
-os.makedirs(dst_syn, exist_ok=True)
-for fn in ("real.csv", "test.csv", "val.csv"):
-    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
-os.chdir(root)
-os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
-os.environ["EFVFM_SMOKE_STEPS"] = "500"
-os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
-subprocess.check_call([
-    sys.executable, "main.py",
-    "--dataname", name, "--mode", "train", "--gpu", "0",
-    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n8-20260424_010110",
-])
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