diff --git a/lightgbm/lightgbm-fil/1/model.txt b/lightgbm/lightgbm-fil/1/model.txt
new file mode 100644
index 0000000..382b88f
--- /dev/null
+++ b/lightgbm/lightgbm-fil/1/model.txt
@@ -0,0 +1,2005 @@
+tree
+version=v3
+num_class=1
+num_tree_per_iteration=1
+label_index=0
+max_feature_idx=125
+objective=binary sigmoid:1
+feature_names=Column_0 Column_1 Column_2 Column_3 Column_4 Column_5 Column_6 Column_7 Column_8 Column_9 Column_10 Column_11 Column_12 Column_13 Column_14 Column_15 Column_16 Column_17 Column_18 Column_19 Column_20 Column_21 Column_22 Column_23 Column_24 Column_25 Column_26 Column_27 Column_28 Column_29 Column_30 Column_31 Column_32 Column_33 Column_34 Column_35 Column_36 Column_37 Column_38 Column_39 Column_40 Column_41 Column_42 Column_43 Column_44 Column_45 Column_46 Column_47 Column_48 Column_49 Column_50 Column_51 Column_52 Column_53 Column_54 Column_55 Column_56 Column_57 Column_58 Column_59 Column_60 Column_61 Column_62 Column_63 Column_64 Column_65 Column_66 Column_67 Column_68 Column_69 Column_70 Column_71 Column_72 Column_73 Column_74 Column_75 Column_76 Column_77 Column_78 Column_79 Column_80 Column_81 Column_82 Column_83 Column_84 Column_85 Column_86 Column_87 Column_88 Column_89 Column_90 Column_91 Column_92 Column_93 Column_94 Column_95 Column_96 Column_97 Column_98 Column_99 Column_100 Column_101 Column_102 Column_103 Column_104 Column_105 Column_106 Column_107 Column_108 Column_109 Column_110 Column_111 Column_112 Column_113 Column_114 Column_115 Column_116 Column_117 Column_118 Column_119 Column_120 Column_121 Column_122 Column_123 Column_124 Column_125
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+split_gain=0.104238 0.0303223 0.0148956 0.00524363 0.00492384 0.00385668 0.00438603 0.0035236 0.00395428 0.000296105 0.000486317 0.000664822 8.31549e-12 9.22418e-13 2.45052e-13 6.38378e-16 1.0365e-15 2.08167e-17 5.37764e-17 1.38778e-17 6.93889e-18 1.04083e-17 6.93889e-18 2.60209e-18 4.33681e-19
+threshold=1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35
+decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
+left_child=1 2 7 4 5 6 13 8 -1 10 11 -3 15 14 -2 17 -17 20 -19 -9 21 -6 -21 -23 -18
+right_child=3 9 -4 -5 12 -7 -8 19 -10 -11 -12 -13 -14 -15 -16 16 24 18 -20 22 -22 23 -24 -25 -26
+leaf_value=0.10000276263894235 -0.10000449511816117 -0.01021409285860711 -0.10000258337633582 0.10000276263892299 -0.10000258337635555 0.10000690450284117 0.1000174434990575 0.10000276263898911 -0.10000258337630799 -0.10000258337634252 -0.10000258337632378 -0.10000258337628438 -0.10001070838193259 -0.10000258337646817 -0.10000622902609624 -0.10000267735135922 -0.10000257419213388 -0.10000258337634907 -0.10000256679302638 0.10000276263898805 -0.10000258337635591 -0.10000258639312809 0.10000276263889607 -0.10000259041548265 -0.10000257628672633
+leaf_weight=0.0020463835789996656 0.0016084380258689635 0.0022033155291865114 0.0040828708188200826 0.0014656531038781387 0.021163741776035749 0.0020522733757388778 0.0013948349514976144 0.048394206260127248 0.0019122306366625708 0.0056333280917897355 0.0027391411822463851 0.0013178886820242042 0.0012847300968132904 0.0018605486111482605 0.0016525313549209386 0.0019252124511694993 0.0010036906005552737 0.0089151293195754988 0.0025680503385956408 0.03191252229953534 0.022843403821752872 0.0048839404098544028 0.0010508456216484765 0.0019897535003110534 0.0010568168563622748
+leaf_count=74 36 75 158 53 819 31 8 1750 74 218 106 51 12 72 37 72 39 345 100 1154 884 189 38 77 41
+internal_value=0 0.0666339 0.0865904 -0.0873516 -0.0909551 -0.0195393 -0.0571894 0.09552 0.00338907 -0.0833692 -0.0684017 -0.0438194 -0.100003 -0.100004 -0.100005 -0.100003 -0.100003 -0.100003 -0.100003 0.100003 -0.100003 -0.100003 0.100003 -0.100003 -0.100003
+internal_weight=0 0.101293 0.0893991 0.0776687 0.0762031 0.00856863 0.00651635 0.0853162 0.00395861 0.0118937 0.00626035 0.0035212 0.0676345 0.00512152 0.00326097 0.0663497 0.00398572 0.062364 0.0114832 0.0813576 0.0508808 0.0280374 0.0329634 0.00687369 0.00206051
+internal_count=6513 3698 3248 2815 2762 184 153 3090 148 450 232 126 2578 145 73 2566 152 2414 445 2942 1969 1085 1192 266 80
+shrinkage=0.1
+
+
+Tree=99
+num_leaves=25
+num_cat=0
+split_feature=28 55 59 108 38 66 20 35 20 22 119 116 66 57 35 115 115 0 124 84 94 50 24 33
+split_gain=0.0942274 0.0273839 0.0134781 0.00474462 0.00445529 0.00348964 0.00396861 0.00318828 0.00357797 0.000316381 0.000524782 0.000677459 6.15715e-12 6.84517e-13 1.81208e-13 3.3658e-15 1.43462e-15 3.05745e-15 3.81639e-16 8.57387e-16 2.08167e-17 4.42354e-17 1.38778e-17 6.93889e-18
+threshold=1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35 1.0000000180025095e-35
+decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
+left_child=1 2 7 4 5 6 13 8 -1 10 11 -3 18 14 -2 -12 -11 -18 20 -20 21 -6 -9 -22
+right_child=3 9 -4 -5 12 -7 -8 22 -10 16 15 -13 -14 -15 -16 -17 17 -19 19 -21 23 -23 -24 -25
+leaf_value=0.10000250070036024 -0.10000407022049734 -0.0057992221306780341 -0.10000234162064675 0.10000250070033885 -0.10000234162064675 0.10000624220952636 0.10001578192271053 0.10000250070041282 -0.100002341620616 -0.10000234162063491 -0.10000234162059876 -0.10000234162058992 -0.10000969077766722 -0.10000233751494428 -0.10000563768723635 -0.10000257134307317 -0.1000025617233426 -0.1000023416205974 -0.10000242492452605 -0.10000232736139834 -0.10000234162064531 -0.10000232392112646 0.10000250070036165 -0.10000234162067166
+leaf_weight=0.0018516490017645984 0.0014553808068740182 0.0021216215973254293 0.0036943429404345798 0.0013261810418043743 0.0036943429404345798 0.0018569853709777817 0.0012621188070625067 0.071713865392666776 0.001730261883494677 0.0025720109078974929 0.0013327692886377918 0.0011924777845706558 0.0011624830804066724 0.0016834979323903099 0.001495280606832238 0.0012228259292896837 0.0012182580248918384 0.0013093873712932691 0.0017420084404875516 0.0018644285864866106 0.0035072876016783985 0.0023236734159581829 0.0019016935693798578 0.046904126193112461
+leaf_count=74 36 80 158 53 158 31 8 2866 74 110 57 51 12 72 37 48 48 56 72 80 150 100 76 2006
+internal_value=0 0.0664844 0.0865902 -0.0873513 -0.0909548 -0.0195392 -0.057189 0.0955197 0.00338905 -0.0817822 -0.0659523 -0.0396953 -0.100002 -0.100004 -0.100005 -0.100002 -0.100002 -0.100002 -0.100002 -0.100002 -0.100002 -0.100002 0.100003 -0.100002
+internal_weight=0 0.0918612 0.0808918 0.0702778 0.0689516 0.00775326 0.00589628 0.0771975 0.00358191 0.0109694 0.00586969 0.0033141 0.0611984 0.00463416 0.00295066 0.0025556 0.00509966 0.00252765 0.0600359 0.00360644 0.0564294 0.00601802 0.0736156 0.0504114
+internal_count=6513 3698 3248 2815 2762 184 153 3090 148 450 236 131 2578 145 73 105 214 104 2566 152 2414 258 2942 2156
+shrinkage=0.1
+
+
+end of trees
+
+feature_importances:
+Column_66=181
+Column_20=168
+Column_22=115
+Column_6=106
+Column_18=102
+Column_28=100
+Column_55=100
+Column_59=100
+Column_108=100
+Column_23=99
+Column_35=96
+Column_49=93
+Column_11=92
+Column_124=90
+Column_84=89
+Column_122=88
+Column_17=87
+Column_38=85
+Column_2=57
+Column_0=43
+Column_50=22
+Column_21=18
+Column_104=15
+Column_39=14
+Column_41=13
+Column_10=12
+Column_47=11
+Column_4=10
+Column_3=9
+Column_8=9
+Column_94=8
+Column_19=7
+Column_116=7
+Column_9=6
+Column_44=6
+Column_63=6
+Column_115=6
+Column_117=6
+Column_13=5
+Column_15=5
+Column_36=5
+Column_61=5
+Column_85=5
+Column_119=5
+Column_24=4
+Column_31=4
+Column_40=4
+Column_52=4
+Column_57=4
+Column_30=3
+Column_43=3
+Column_65=3
+Column_76=3
+Column_78=3
+Column_111=3
+Column_121=3
+Column_26=2
+Column_29=2
+Column_33=2
+Column_46=2
+Column_48=2
+Column_64=2
+Column_70=2
+Column_81=2
+Column_83=2
+Column_98=2
+Column_114=2
+Column_53=1
+Column_54=1
+Column_67=1
+Column_68=1
+Column_69=1
+Column_89=1
+Column_105=1
+Column_109=1
+Column_112=1
+Column_120=1
+Column_123=1
+
+parameters:
+[boosting: gbdt]
+[objective: binary]
+[metric: binary_logloss]
+[tree_learner: serial]
+[device_type: cpu]
+[data: ]
+[valid: ]
+[num_iterations: 100]
+[learning_rate: 0.1]
+[num_leaves: 31]
+[num_threads: 0]
+[deterministic: 0]
+[force_col_wise: 0]
+[force_row_wise: 0]
+[histogram_pool_size: -1]
+[max_depth: -1]
+[min_data_in_leaf: 20]
+[min_sum_hessian_in_leaf: 0.001]
+[bagging_fraction: 1]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 0]
+[bagging_seed: 3]
+[feature_fraction: 1]
+[feature_fraction_bynode: 1]
+[feature_fraction_seed: 2]
+[extra_trees: 0]
+[extra_seed: 6]
+[early_stopping_round: 5]
+[first_metric_only: 0]
+[max_delta_step: 0]
+[lambda_l1: 0]
+[lambda_l2: 0]
+[min_gain_to_split: 0]
+[drop_rate: 0.1]
+[max_drop: 50]
+[skip_drop: 0.5]
+[xgboost_dart_mode: 0]
+[uniform_drop: 0]
+[drop_seed: 4]
+[top_rate: 0.2]
+[other_rate: 0.1]
+[min_data_per_group: 100]
+[max_cat_threshold: 32]
+[cat_l2: 10]
+[cat_smooth: 10]
+[max_cat_to_onehot: 4]
+[top_k: 20]
+[monotone_constraints: ]
+[monotone_constraints_method: basic]
+[monotone_penalty: 0]
+[feature_contri: ]
+[forcedsplits_filename: ]
+[refit_decay_rate: 0.9]
+[cegb_tradeoff: 1]
+[cegb_penalty_split: 0]
+[cegb_penalty_feature_lazy: ]
+[cegb_penalty_feature_coupled: ]
+[path_smooth: 0]
+[interaction_constraints: ]
+[verbosity: 1]
+[saved_feature_importance_type: 0]
+[max_bin: 255]
+[max_bin_by_feature: ]
+[min_data_in_bin: 3]
+[bin_construct_sample_cnt: 200000]
+[data_random_seed: 1]
+[is_enable_sparse: 1]
+[enable_bundle: 1]
+[use_missing: 1]
+[zero_as_missing: 0]
+[feature_pre_filter: 1]
+[pre_partition: 0]
+[two_round: 0]
+[header: 0]
+[label_column: ]
+[weight_column: ]
+[group_column: ]
+[ignore_column: ]
+[categorical_feature: ]
+[forcedbins_filename: ]
+[objective_seed: 5]
+[num_class: 1]
+[is_unbalance: 0]
+[scale_pos_weight: 1]
+[sigmoid: 1]
+[boost_from_average: 1]
+[reg_sqrt: 0]
+[alpha: 0.9]
+[fair_c: 1]
+[poisson_max_delta_step: 0.7]
+[tweedie_variance_power: 1.5]
+[lambdarank_truncation_level: 30]
+[lambdarank_norm: 1]
+[label_gain: ]
+[eval_at: ]
+[multi_error_top_k: 1]
+[auc_mu_weights: ]
+[num_machines: 1]
+[local_listen_port: 12400]
+[time_out: 120]
+[machine_list_filename: ]
+[machines: ]
+[gpu_platform_id: -1]
+[gpu_device_id: -1]
+[gpu_use_dp: 0]
+[num_gpu: 1]
+
+end of parameters
+
+pandas_categorical:null
diff --git a/lightgbm/lightgbm-fil/config.pbtxt b/lightgbm/lightgbm-fil/config.pbtxt
new file mode 100644
index 0000000..cbb8d56
--- /dev/null
+++ b/lightgbm/lightgbm-fil/config.pbtxt
@@ -0,0 +1,27 @@
+backend: "fil"
+max_batch_size: 8
+input [
+ {
+    name: "input__0"
+    data_type: TYPE_FP32
+    dims: [ 126 ]
+  }
+]
+output [
+ {
+    name: "output__0"
+    data_type: TYPE_FP32
+    dims: [ 1 ]
+  }
+]
+instance_group [{ kind: KIND_AUTO }]
+parameters [
+  {
+    key: "model_type"
+    value: { string_value: "lightgbm" }
+  },
+  {
+    key: "output_class"
+    value: { string_value: "false" }
+  }
+]
\ No newline at end of file
diff --git a/xgboost/mushroom-fil/1/xgboost.json b/xgboost/mushroom-fil/1/xgboost.json
new file mode 100644
index 0000000..efc88de
--- /dev/null
+++ b/xgboost/mushroom-fil/1/xgboost.json
@@ -0,0 +1,87 @@
+{
+  "learner": {
+    "attributes": {},
+    "gradient_booster": {
+      "model": {
+        "gbtree_model_param": {"num_trees": "2", "size_leaf_vector": "0"},
+        "tree_info": [0, 0],
+        "trees": [
+          {
+            "base_weights": [
+              -7.15052932500839233e-2, 1.29551589488983154,
+              -1.86661934852600098, 1.71217715740203857, -1.70044052600860596,
+              -1.94070863723754883, 1.8596491813659668
+            ],
+            "default_left": [true, true, true, false, false, false, false],
+            "id": 0,
+            "leaf_child_counts": [0, 0, 0, 0, 0, 0, 0],
+            "left_children": [1, 3, 5, -1, -1, -1, -1],
+            "loss_changes": [
+              4.000531005859375e3, 1.1582120361328125e3, 1.98173828125e2, 0.0,
+              0.0, 0.0, 0.0
+            ],
+            "parents": [2147483647, 0, 0, 1, 1, 2, 2],
+            "right_children": [2, 4, 6, -1, -1, -1, -1],
+            "split_conditions": [
+              -9.5367431640625e-7, -9.5367431640625e-7, -9.5367431640625e-7,
+              1.71217715740203857, -1.70044052600860596, -1.94070863723754883,
+              1.8596491813659668
+            ],
+            "split_indices": [28, 55, 108, 0, 0, 0, 0],
+            "sum_hessian": [
+              1.62825e3, 9.245e2, 7.0375e2, 8.12e2, 1.125e2, 6.905e2, 1.325e1
+            ],
+            "tree_param": {
+              "num_deleted": "0",
+              "num_feature": "126",
+              "num_nodes": "7",
+              "size_leaf_vector": "0"
+            }
+          },
+          {
+            "base_weights": [
+              -9.31910648941993713e-2, 7.82926455140113831e-2,
+              -6.23624467849731445, 7.84717559814453125e-1,
+              -9.68530356884002686e-1
+            ],
+            "default_left": [true, true, false, false, false],
+            "id": 1,
+            "leaf_child_counts": [0, 0, 0, 0, 0],
+            "left_children": [1, 3, -1, -1, -1],
+            "loss_changes": [
+              8.325450439453125e2, 5.6972509765625e2, 0.0, 0.0, 0.0
+            ],
+            "parents": [2147483647, 0, 0, 1, 1],
+            "right_children": [2, 4, -1, -1, -1],
+            "split_conditions": [
+              -9.5367431640625e-7, -9.5367431640625e-7, -6.23624467849731445,
+              7.84717559814453125e-1, -9.68530356884002686e-1
+            ],
+            "split_indices": [59, 28, 0, 0, 0],
+            "sum_hessian": [
+              7.8885205078125e2, 7.6838970947265625e2, 2.04623889923095703e1,
+              4.58936859130859375e2, 3.0945281982421875e2
+            ],
+            "tree_param": {
+              "num_deleted": "0",
+              "num_feature": "126",
+              "num_nodes": "5",
+              "size_leaf_vector": "0"
+            }
+          }
+        ]
+      },
+      "name": "gbtree"
+    },
+    "learner_model_param": {
+      "base_score": "0.500000",
+      "num_class": "0",
+      "num_feature": "126"
+    },
+    "objective": {
+      "name": "binary:logistic",
+      "reg_loss_param": {"scale_pos_weight": "1"}
+    }
+  },
+  "version": [1, 1, 1]
+}
diff --git a/xgboost/mushroom-fil/config.pbtxt b/xgboost/mushroom-fil/config.pbtxt
new file mode 100644
index 0000000..e5e820a
--- /dev/null
+++ b/xgboost/mushroom-fil/config.pbtxt
@@ -0,0 +1,27 @@
+backend: "fil"
+max_batch_size: 8
+input [
+ {
+    name: "input__0"
+    data_type: TYPE_FP32
+    dims: [ 126 ]
+  }
+]
+output [
+ {
+    name: "output__0"
+    data_type: TYPE_FP32
+    dims: [ 1 ]
+  }
+]
+instance_group [{ kind: KIND_AUTO }]
+parameters [
+  {
+    key: "model_type"
+    value: { string_value: "xgboost_json" }
+  },
+  {
+    key: "output_class"
+    value: { string_value: "false" }
+  }
+]
\ No newline at end of file