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+}

AI4M/meta-llama-Meta-Llama-3-8B-pn-v3-lean4-train-on-validation-2025_m02_d07_t07h_43m_33s/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e9fcf89ec908ec116fa4ed89aa7ec9355948cc07f35941c5c689dc900180231
+size 5432

README.md

@@ -0,0 +1,392 @@
+---
+library_name: transformers
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- generated_from_trainer
+model-index:
+- name: tfa_output_2025_m02_d07_t07h_43m_33s
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# tfa_output_2025_m02_d07_t07h_43m_33s
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4660
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-06
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0      | 0    | 1.4694          |
+| 4.604         | 0.0030 | 1    | 1.4694          |
+| 4.6485        | 0.0060 | 2    | 1.4693          |
+| 4.6515        | 0.0091 | 3    | 1.4693          |
+| 4.9659        | 0.0121 | 4    | 1.4692          |
+| 4.5235        | 0.0151 | 5    | 1.4692          |
+| 4.7107        | 0.0181 | 6    | 1.4690          |
+| 4.3335        | 0.0211 | 7    | 1.4686          |
+| 4.8938        | 0.0242 | 8    | 1.4682          |
+| 4.8609        | 0.0272 | 9    | 1.4677          |
+| 4.5648        | 0.0302 | 10   | 1.4667          |
+| 4.5394        | 0.0332 | 11   | 1.4655          |
+| 4.7629        | 0.0363 | 12   | 1.4644          |
+| 4.5808        | 0.0393 | 13   | 1.4632          |
+| 4.5545        | 0.0423 | 14   | 1.4619          |
+| 4.4343        | 0.0453 | 15   | 1.4605          |
+| 4.5662        | 0.0483 | 16   | 1.4591          |
+| 4.398         | 0.0514 | 17   | 1.4575          |
+| 4.3894        | 0.0544 | 18   | 1.4550          |
+| 4.61          | 0.0574 | 19   | 1.4524          |
+| 4.4373        | 0.0604 | 20   | 1.4501          |
+| 4.2311        | 0.0634 | 21   | 1.4478          |
+| 4.3044        | 0.0665 | 22   | 1.4454          |
+| 4.2496        | 0.0695 | 23   | 1.4431          |
+| 4.3269        | 0.0725 | 24   | 1.4409          |
+| 4.2602        | 0.0755 | 25   | 1.4385          |
+| 4.4063        | 0.0785 | 26   | 1.4362          |
+| 4.2922        | 0.0816 | 27   | 1.4341          |
+| 3.8772        | 0.0846 | 28   | 1.4320          |
+| 4.2066        | 0.0876 | 29   | 1.4298          |
+| 4.1774        | 0.0906 | 30   | 1.4280          |
+| 4.1788        | 0.0937 | 31   | 1.4259          |
+| 4.2413        | 0.0967 | 32   | 1.4240          |
+| 4.2196        | 0.0997 | 33   | 1.4220          |
+| 4.4204        | 0.1027 | 34   | 1.4203          |
+| 4.1017        | 0.1057 | 35   | 1.4185          |
+| 4.25          | 0.1088 | 36   | 1.4168          |
+| 4.1705        | 0.1118 | 37   | 1.4152          |
+| 4.0192        | 0.1148 | 38   | 1.4136          |
+| 4.1317        | 0.1178 | 39   | 1.4123          |
+| 4.243         | 0.1208 | 40   | 1.4107          |
+| 3.9988        | 0.1239 | 41   | 1.4094          |
+| 3.9451        | 0.1269 | 42   | 1.4081          |
+| 4.0244        | 0.1299 | 43   | 1.4068          |
+| 4.0956        | 0.1329 | 44   | 1.4055          |
+| 3.9313        | 0.1360 | 45   | 1.4043          |
+| 3.9223        | 0.1390 | 46   | 1.4033          |
+| 3.7763        | 0.1420 | 47   | 1.4021          |
+| 3.8153        | 0.1450 | 48   | 1.4011          |
+| 4.1018        | 0.1480 | 49   | 1.4003          |
+| 4.2674        | 0.1511 | 50   | 1.3994          |
+| 4.0947        | 0.1541 | 51   | 1.3984          |
+| 3.8134        | 0.1571 | 52   | 1.3976          |
+| 3.7836        | 0.1601 | 53   | 1.3969          |
+| 3.9645        | 0.1631 | 54   | 1.3961          |
+| 3.5071        | 0.1662 | 55   | 1.3955          |
+| 3.9643        | 0.1692 | 56   | 1.3950          |
+| 3.7689        | 0.1722 | 57   | 1.3944          |
+| 3.9377        | 0.1752 | 58   | 1.3937          |
+| 3.9542        | 0.1782 | 59   | 1.3932          |
+| 3.7511        | 0.1813 | 60   | 1.3926          |
+| 3.7859        | 0.1843 | 61   | 1.3922          |
+| 3.7963        | 0.1873 | 62   | 1.3916          |
+| 3.7728        | 0.1903 | 63   | 1.3913          |
+| 3.7714        | 0.1934 | 64   | 1.3910          |
+| 3.9066        | 0.1964 | 65   | 1.3906          |
+| 3.9718        | 0.1994 | 66   | 1.3903          |
+| 3.7207        | 0.2024 | 67   | 1.3901          |
+| 3.7618        | 0.2054 | 68   | 1.3896          |
+| 3.5737        | 0.2085 | 69   | 1.3895          |
+| 3.6742        | 0.2115 | 70   | 1.3892          |
+| 3.6627        | 0.2145 | 71   | 1.3892          |
+| 3.7246        | 0.2175 | 72   | 1.3889          |
+| 3.5988        | 0.2205 | 73   | 1.3887          |
+| 3.5042        | 0.2236 | 74   | 1.3885          |
+| 3.6754        | 0.2266 | 75   | 1.3884          |
+| 3.8237        | 0.2296 | 76   | 1.3883          |
+| 3.6541        | 0.2326 | 77   | 1.3882          |
+| 3.8442        | 0.2356 | 78   | 1.3881          |
+| 3.8189        | 0.2387 | 79   | 1.3881          |
+| 3.4796        | 0.2417 | 80   | 1.3879          |
+| 3.7061        | 0.2447 | 81   | 1.3880          |
+| 3.7453        | 0.2477 | 82   | 1.3880          |
+| 3.4375        | 0.2508 | 83   | 1.3880          |
+| 3.6748        | 0.2538 | 84   | 1.3881          |
+| 3.6132        | 0.2568 | 85   | 1.3880          |
+| 3.6022        | 0.2598 | 86   | 1.3879          |
+| 3.9084        | 0.2628 | 87   | 1.3879          |
+| 3.5629        | 0.2659 | 88   | 1.3882          |
+| 3.6004        | 0.2689 | 89   | 1.3883          |
+| 3.8498        | 0.2719 | 90   | 1.3883          |
+| 3.5523        | 0.2749 | 91   | 1.3884          |
+| 3.7526        | 0.2779 | 92   | 1.3886          |
+| 3.7638        | 0.2810 | 93   | 1.3887          |
+| 3.6319        | 0.2840 | 94   | 1.3888          |
+| 3.551         | 0.2870 | 95   | 1.3888          |
+| 3.8053        | 0.2900 | 96   | 1.3890          |
+| 3.6299        | 0.2931 | 97   | 1.3891          |
+| 3.8778        | 0.2961 | 98   | 1.3891          |
+| 3.4661        | 0.2991 | 99   | 1.3893          |
+| 3.6199        | 0.3021 | 100  | 1.3894          |
+| 3.7169        | 0.3051 | 101  | 1.3897          |
+| 3.6181        | 0.3082 | 102  | 1.3898          |
+| 3.712         | 0.3112 | 103  | 1.3900          |
+| 3.426         | 0.3142 | 104  | 1.3903          |
+| 3.2462        | 0.3172 | 105  | 1.3905          |
+| 3.4656        | 0.3202 | 106  | 1.3907          |
+| 3.5511        | 0.3233 | 107  | 1.3910          |
+| 3.5268        | 0.3263 | 108  | 1.3913          |
+| 3.4383        | 0.3293 | 109  | 1.3915          |
+| 3.5351        | 0.3323 | 110  | 1.3919          |
+| 3.4221        | 0.3353 | 111  | 1.3922          |
+| 3.064         | 0.3384 | 112  | 1.3926          |
+| 3.4006        | 0.3414 | 113  | 1.3928          |
+| 3.5908        | 0.3444 | 114  | 1.3931          |
+| 3.5341        | 0.3474 | 115  | 1.3935          |
+| 3.4771        | 0.3505 | 116  | 1.3938          |
+| 3.4362        | 0.3535 | 117  | 1.3940          |
+| 3.5801        | 0.3565 | 118  | 1.3941          |
+| 3.5304        | 0.3595 | 119  | 1.3943          |
+| 3.6278        | 0.3625 | 120  | 1.3945          |
+| 3.5677        | 0.3656 | 121  | 1.3948          |
+| 3.5208        | 0.3686 | 122  | 1.3950          |
+| 3.5702        | 0.3716 | 123  | 1.3952          |
+| 3.4074        | 0.3746 | 124  | 1.3954          |
+| 3.1593        | 0.3776 | 125  | 1.3956          |
+| 3.4503        | 0.3807 | 126  | 1.3958          |
+| 3.6251        | 0.3837 | 127  | 1.3961          |
+| 3.4879        | 0.3867 | 128  | 1.3965          |
+| 3.3838        | 0.3897 | 129  | 1.3968          |
+| 3.411         | 0.3927 | 130  | 1.3972          |
+| 3.3504        | 0.3958 | 131  | 1.3975          |
+| 3.2542        | 0.3988 | 132  | 1.3980          |
+| 3.5616        | 0.4018 | 133  | 1.3984          |
+| 3.3994        | 0.4048 | 134  | 1.3990          |
+| 3.3805        | 0.4079 | 135  | 1.3994          |
+| 3.4415        | 0.4109 | 136  | 1.3997          |
+| 3.6288        | 0.4139 | 137  | 1.4001          |
+| 3.2875        | 0.4169 | 138  | 1.4004          |
+| 3.2699        | 0.4199 | 139  | 1.4007          |
+| 3.6125        | 0.4230 | 140  | 1.4011          |
+| 3.4689        | 0.4260 | 141  | 1.4013          |
+| 3.4061        | 0.4290 | 142  | 1.4015          |
+| 3.3196        | 0.4320 | 143  | 1.4019          |
+| 3.4037        | 0.4350 | 144  | 1.4020          |
+| 3.4214        | 0.4381 | 145  | 1.4024          |
+| 3.3448        | 0.4411 | 146  | 1.4025          |
+| 3.4775        | 0.4441 | 147  | 1.4028          |
+| 3.4709        | 0.4471 | 148  | 1.4032          |
+| 3.4283        | 0.4502 | 149  | 1.4033          |
+| 3.4671        | 0.4532 | 150  | 1.4035          |
+| 3.2426        | 0.4562 | 151  | 1.4038          |
+| 3.4191        | 0.4592 | 152  | 1.4042          |
+| 3.4264        | 0.4622 | 153  | 1.4045          |
+| 3.2461        | 0.4653 | 154  | 1.4050          |
+| 3.3855        | 0.4683 | 155  | 1.4053          |
+| 3.313         | 0.4713 | 156  | 1.4056          |
+| 3.3058        | 0.4743 | 157  | 1.4059          |
+| 3.5508        | 0.4773 | 158  | 1.4062          |
+| 3.2109        | 0.4804 | 159  | 1.4066          |
+| 3.5045        | 0.4834 | 160  | 1.4068          |
+| 3.4068        | 0.4864 | 161  | 1.4071          |
+| 3.3438        | 0.4894 | 162  | 1.4075          |
+| 3.3953        | 0.4924 | 163  | 1.4078          |
+| 3.2312        | 0.4955 | 164  | 1.4079          |
+| 3.2971        | 0.4985 | 165  | 1.4084          |
+| 3.3118        | 0.5015 | 166  | 1.4086          |
+| 3.4395        | 0.5045 | 167  | 1.4088          |
+| 3.7162        | 0.5076 | 168  | 1.4089          |
+| 3.3864        | 0.5106 | 169  | 1.4091          |
+| 3.0887        | 0.5136 | 170  | 1.4092          |
+| 2.9898        | 0.5166 | 171  | 1.4095          |
+| 3.4697        | 0.5196 | 172  | 1.4099          |
+| 3.2762        | 0.5227 | 173  | 1.4102          |
+| 3.1383        | 0.5257 | 174  | 1.4106          |
+| 3.2522        | 0.5287 | 175  | 1.4112          |
+| 3.309         | 0.5317 | 176  | 1.4117          |
+| 3.4431        | 0.5347 | 177  | 1.4121          |
+| 3.1366        | 0.5378 | 178  | 1.4126          |
+| 3.3094        | 0.5408 | 179  | 1.4131          |
+| 3.4466        | 0.5438 | 180  | 1.4136          |
+| 3.3411        | 0.5468 | 181  | 1.4140          |
+| 3.013         | 0.5498 | 182  | 1.4143          |
+| 3.4785        | 0.5529 | 183  | 1.4147          |
+| 3.0358        | 0.5559 | 184  | 1.4152          |
+| 3.2833        | 0.5589 | 185  | 1.4158          |
+| 3.2953        | 0.5619 | 186  | 1.4162          |
+| 3.3485        | 0.5650 | 187  | 1.4167          |
+| 3.4911        | 0.5680 | 188  | 1.4172          |
+| 3.3863        | 0.5710 | 189  | 1.4176          |
+| 3.1944        | 0.5740 | 190  | 1.4180          |
+| 3.2994        | 0.5770 | 191  | 1.4185          |
+| 3.4385        | 0.5801 | 192  | 1.4187          |
+| 3.3346        | 0.5831 | 193  | 1.4191          |
+| 3.3318        | 0.5861 | 194  | 1.4194          |
+| 3.4027        | 0.5891 | 195  | 1.4198          |
+| 3.2532        | 0.5921 | 196  | 1.4201          |
+| 3.2351        | 0.5952 | 197  | 1.4205          |
+| 3.4589        | 0.5982 | 198  | 1.4203          |
+| 3.4375        | 0.6012 | 199  | 1.4204          |
+| 3.0901        | 0.6042 | 200  | 1.4207          |
+| 3.3186        | 0.6073 | 201  | 1.4210          |
+| 3.2891        | 0.6103 | 202  | 1.4212          |
+| 3.2752        | 0.6133 | 203  | 1.4217          |
+| 3.3808        | 0.6163 | 204  | 1.4221          |
+| 3.376         | 0.6193 | 205  | 1.4223          |
+| 3.4086        | 0.6224 | 206  | 1.4226          |
+| 3.3506        | 0.6254 | 207  | 1.4228          |
+| 3.4508        | 0.6284 | 208  | 1.4232          |
+| 3.4237        | 0.6314 | 209  | 1.4235          |
+| 3.2154        | 0.6344 | 210  | 1.4240          |
+| 3.2379        | 0.6375 | 211  | 1.4244          |
+| 2.8335        | 0.6405 | 212  | 1.4251          |
+| 3.1927        | 0.6435 | 213  | 1.4251          |
+| 3.1871        | 0.6465 | 214  | 1.4256          |
+| 3.1004        | 0.6495 | 215  | 1.4259          |
+| 3.2405        | 0.6526 | 216  | 1.4264          |
+| 3.1544        | 0.6556 | 217  | 1.4269          |
+| 3.1204        | 0.6586 | 218  | 1.4274          |
+| 3.3257        | 0.6616 | 219  | 1.4280          |
+| 3.2689        | 0.6647 | 220  | 1.4286          |
+| 3.0117        | 0.6677 | 221  | 1.4289          |
+| 3.4276        | 0.6707 | 222  | 1.4295          |
+| 3.2358        | 0.6737 | 223  | 1.4301          |
+| 3.1374        | 0.6767 | 224  | 1.4307          |
+| 3.2972        | 0.6798 | 225  | 1.4312          |
+| 3.2838        | 0.6828 | 226  | 1.4318          |
+| 3.2839        | 0.6858 | 227  | 1.4322          |
+| 3.2228        | 0.6888 | 228  | 1.4328          |
+| 3.2605        | 0.6918 | 229  | 1.4334          |
+| 3.2945        | 0.6949 | 230  | 1.4340          |
+| 3.3155        | 0.6979 | 231  | 1.4344          |
+| 3.1988        | 0.7009 | 232  | 1.4349          |
+| 3.2921        | 0.7039 | 233  | 1.4355          |
+| 2.8752        | 0.7069 | 234  | 1.4359          |
+| 3.0065        | 0.7100 | 235  | 1.4361          |
+| 3.1689        | 0.7130 | 236  | 1.4366          |
+| 3.1959        | 0.7160 | 237  | 1.4370          |
+| 3.3473        | 0.7190 | 238  | 1.4373          |
+| 3.2927        | 0.7221 | 239  | 1.4377          |
+| 2.9934        | 0.7251 | 240  | 1.4379          |
+| 3.2058        | 0.7281 | 241  | 1.4384          |
+| 3.1388        | 0.7311 | 242  | 1.4388          |
+| 3.2384        | 0.7341 | 243  | 1.4388          |
+| 3.2028        | 0.7372 | 244  | 1.4392          |
+| 3.3737        | 0.7402 | 245  | 1.4392          |
+| 3.166         | 0.7432 | 246  | 1.4397          |
+| 3.0255        | 0.7462 | 247  | 1.4397          |
+| 3.0979        | 0.7492 | 248  | 1.4401          |
+| 3.2436        | 0.7523 | 249  | 1.4404          |
+| 3.1785        | 0.7553 | 250  | 1.4408          |
+| 3.2052        | 0.7583 | 251  | 1.4411          |
+| 3.1967        | 0.7613 | 252  | 1.4413          |
+| 2.9086        | 0.7644 | 253  | 1.4416          |
+| 3.355         | 0.7674 | 254  | 1.4421          |
+| 3.4027        | 0.7704 | 255  | 1.4422          |
+| 2.9307        | 0.7734 | 256  | 1.4428          |
+| 3.1738        | 0.7764 | 257  | 1.4429          |
+| 3.3088        | 0.7795 | 258  | 1.4431          |
+| 3.4942        | 0.7825 | 259  | 1.4432          |
+| 2.831         | 0.7855 | 260  | 1.4437          |
+| 3.1675        | 0.7885 | 261  | 1.4444          |
+| 3.3274        | 0.7915 | 262  | 1.4447          |
+| 3.0326        | 0.7946 | 263  | 1.4448          |
+| 3.3138        | 0.7976 | 264  | 1.4454          |
+| 3.2153        | 0.8006 | 265  | 1.4455          |
+| 3.3983        | 0.8036 | 266  | 1.4458          |
+| 3.179         | 0.8066 | 267  | 1.4461          |
+| 3.2621        | 0.8097 | 268  | 1.4464          |
+| 3.0191        | 0.8127 | 269  | 1.4468          |
+| 3.058         | 0.8157 | 270  | 1.4472          |
+| 3.3188        | 0.8187 | 271  | 1.4478          |
+| 2.9837        | 0.8218 | 272  | 1.4481          |
+| 3.2624        | 0.8248 | 273  | 1.4486          |
+| 3.2701        | 0.8278 | 274  | 1.4492          |
+| 3.1579        | 0.8308 | 275  | 1.4497          |
+| 3.3164        | 0.8338 | 276  | 1.4501          |
+| 2.9827        | 0.8369 | 277  | 1.4507          |
+| 3.1842        | 0.8399 | 278  | 1.4512          |
+| 3.2366        | 0.8429 | 279  | 1.4519          |
+| 3.0562        | 0.8459 | 280  | 1.4520          |
+| 2.9503        | 0.8489 | 281  | 1.4526          |
+| 3.0441        | 0.8520 | 282  | 1.4530          |
+| 3.4535        | 0.8550 | 283  | 1.4534          |
+| 3.2656        | 0.8580 | 284  | 1.4537          |
+| 3.3452        | 0.8610 | 285  | 1.4541          |
+| 3.0958        | 0.8640 | 286  | 1.4548          |
+| 3.1579        | 0.8671 | 287  | 1.4553          |
+| 3.1473        | 0.8701 | 288  | 1.4556          |
+| 3.2825        | 0.8731 | 289  | 1.4559          |
+| 2.8554        | 0.8761 | 290  | 1.4563          |
+| 3.2792        | 0.8792 | 291  | 1.4566          |
+| 3.0977        | 0.8822 | 292  | 1.4567          |
+| 3.0414        | 0.8852 | 293  | 1.4568          |
+| 3.2151        | 0.8882 | 294  | 1.4569          |
+| 3.1287        | 0.8912 | 295  | 1.4571          |
+| 3.1167        | 0.8943 | 296  | 1.4572          |
+| 3.1497        | 0.8973 | 297  | 1.4574          |
+| 3.0451        | 0.9003 | 298  | 1.4576          |
+| 3.147         | 0.9033 | 299  | 1.4578          |
+| 3.2183        | 0.9063 | 300  | 1.4582          |
+| 3.0974        | 0.9094 | 301  | 1.4585          |
+| 3.1824        | 0.9124 | 302  | 1.4589          |
+| 3.0607        | 0.9154 | 303  | 1.4593          |
+| 3.1255        | 0.9184 | 304  | 1.4598          |
+| 2.6534        | 0.9215 | 305  | 1.4604          |
+| 2.9006        | 0.9245 | 306  | 1.4605          |
+| 3.336         | 0.9275 | 307  | 1.4609          |
+| 3.2408        | 0.9305 | 308  | 1.4609          |
+| 3.0551        | 0.9335 | 309  | 1.4610          |
+| 2.8721        | 0.9366 | 310  | 1.4610          |
+| 3.1009        | 0.9396 | 311  | 1.4610          |
+| 3.3979        | 0.9426 | 312  | 1.4608          |
+| 3.133         | 0.9456 | 313  | 1.4609          |
+| 3.1008        | 0.9486 | 314  | 1.4609          |
+| 3.2113        | 0.9517 | 315  | 1.4610          |
+| 3.161         | 0.9547 | 316  | 1.4612          |
+| 2.968         | 0.9577 | 317  | 1.4614          |
+| 2.936         | 0.9607 | 318  | 1.4619          |
+| 3.4561        | 0.9637 | 319  | 1.4622          |
+| 3.1529        | 0.9668 | 320  | 1.4625          |
+| 3.1159        | 0.9698 | 321  | 1.4629          |
+| 3.2588        | 0.9728 | 322  | 1.4630          |
+| 2.9729        | 0.9758 | 323  | 1.4633          |
+| 3.2778        | 0.9789 | 324  | 1.4636          |
+| 2.9019        | 0.9819 | 325  | 1.4638          |
+| 3.094         | 0.9849 | 326  | 1.4643          |
+| 3.0259        | 0.9879 | 327  | 1.4647          |
+| 3.3842        | 0.9909 | 328  | 1.4652          |
+| 3.217         | 0.9940 | 329  | 1.4655          |
+| 3.4145        | 0.9970 | 330  | 1.4658          |
+| 3.3328        | 1.0    | 331  | 1.4660          |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+  "vocab_size": 128256
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