GindaChen commited on
Commit
53943ec
Β·
verified Β·
1 Parent(s): ffa6b70

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "▁<EOT>": 32003,
3
+ "▁<MID>": 32001,
4
+ "▁<PRE>": 32000,
5
+ "▁<SUF>": 32002
6
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/CodeLlama-7b-Python-hf",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 11008,
14
+ "max_position_embeddings": 16384,
15
+ "mlp_bias": false,
16
+ "model_type": "llama",
17
+ "num_attention_heads": 32,
18
+ "num_hidden_layers": 32,
19
+ "num_key_value_heads": 32,
20
+ "pretraining_tp": 1,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_scaling": null,
23
+ "rope_theta": 1000000,
24
+ "tie_word_embeddings": false,
25
+ "torch_dtype": "bfloat16",
26
+ "transformers_version": "4.44.1",
27
+ "use_cache": true,
28
+ "vocab_size": 32000
29
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.44.1"
6
+ }
logs.txt ADDED
@@ -0,0 +1,322 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-08-21 21:52:53,643] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
2
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
3
+
4
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
5
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
6
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
7
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
8
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
9
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
10
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
11
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
12
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
13
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
14
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
15
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
16
+ FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
17
+ CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
18
+ local_rank = 0, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 0
19
+ Rank = 0
20
+ [2024-08-21 21:53:16,385] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
21
+ local_rank = 4, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 4
22
+ Rank = 4
23
+ [2024-08-21 21:53:16,981] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
24
+ local_rank = 1, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 1
25
+ Rank = 1
26
+ [2024-08-21 21:53:17,348] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
27
+ local_rank = 3, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 3
28
+ Rank = 3
29
+ [2024-08-21 21:53:17,745] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
30
+ local_rank = 7, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 7
31
+ Rank = 7
32
+ [2024-08-21 21:53:17,915] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
33
+ local_rank = 2, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 2
34
+ Rank = 2
35
+ local_rank = 6, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 6
36
+ Rank = 6
37
+ [2024-08-21 21:53:17,992] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
38
+ [2024-08-21 21:53:18,000] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
39
+ local_rank = 5, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 5
40
+ Rank = 5
41
+ [2024-08-21 21:53:18,021] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
42
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
43
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
44
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
45
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
46
+  [WARNING]  async_io: please install the libaio-dev package with apt
47
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
48
+  [WARNING]  async_io: please install the libaio-dev package with apt
49
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
50
+  [WARNING]  async_io: please install the libaio-dev package with apt
51
+  [WARNING]  async_io: please install the libaio-dev package with apt
52
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
53
+
54
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
55
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
56
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
57
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
58
+ ninja: no work to do.
59
+ Time to load cpu_adam op: 0.3339824676513672 seconds
60
+ Time to load cpu_adam op: 0.37705373764038086 seconds
61
+ Time to load cpu_adam op: 0.38593220710754395 seconds
62
+ Time to load cpu_adam op: 0.3894319534301758 seconds
63
+ [2024-08-21 21:53:25,721] [INFO] [comm.py:637:init_distributed] cdb=None
64
+ [2024-08-21 21:53:25,759] [INFO] [comm.py:637:init_distributed] cdb=None
65
+ [2024-08-21 21:53:25,760] [INFO] [comm.py:637:init_distributed] cdb=None
66
+ [2024-08-21 21:53:25,761] [INFO] [comm.py:637:init_distributed] cdb=None
67
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
68
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
69
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
70
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
71
+  [WARNING]  async_io: please install the libaio-dev package with apt [WARNING]  async_io: please install the libaio-dev package with apt
72
+  [WARNING]  async_io: please install the libaio-dev package with apt
73
+
74
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
75
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
76
+
77
+  [WARNING]  async_io: please install the libaio-dev package with apt
78
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
79
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
80
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
81
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
82
+ Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
83
+ ninja: no work to do.
84
+ Time to load cpu_adam op: 0.8158621788024902 seconds
85
+ Time to load cpu_adam op: 0.8576140403747559 seconds
86
+ Time to load cpu_adam op: 0.8568542003631592 seconds
87
+ Time to load cpu_adam op: 0.8368628025054932 seconds
88
+ [2024-08-21 21:53:30,456] [INFO] [comm.py:637:init_distributed] cdb=None
89
+ [2024-08-21 21:53:30,493] [INFO] [comm.py:637:init_distributed] cdb=None
90
+ [2024-08-21 21:53:30,494] [INFO] [comm.py:637:init_distributed] cdb=None
91
+ [2024-08-21 21:53:30,506] [INFO] [comm.py:637:init_distributed] cdb=None
92
+ [2024-08-21 21:53:41,588] [INFO] [partition_parameters.py:345:__exit__] finished initializing model - num_params = 291, num_elems = 6.74B
93
+ Is prompt masked: True
94
+ Is prompt masked: True
95
+ Is prompt masked: True
96
+ Is prompt masked: True
97
+ Is prompt masked: True
98
+ Is prompt masked: True
99
+ Is prompt masked: True
100
+ Is prompt masked: True
101
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
102
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
103
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
104
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
105
+ [2024-08-21 21:53:48,893] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed info: version=0.14.5, git-hash=unknown, git-branch=unknown
106
+ [2024-08-21 21:53:48,903] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
107
+ [2024-08-21 21:53:48,903] [INFO] [logging.py:96:log_dist] [Rank 0] Using client Optimizer as basic optimizer
108
+ [2024-08-21 21:53:48,903] [INFO] [logging.py:96:log_dist] [Rank 0] Removing param_group that has no 'params' in the basic Optimizer
109
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
110
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
111
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
112
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
113
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
114
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
115
+ [2024-08-21 21:53:48,910] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = DeepSpeedCPUAdam
116
+ [2024-08-21 21:53:48,911] [INFO] [utils.py:59:is_zero_supported_optimizer] Checking ZeRO support for optimizer=DeepSpeedCPUAdam type=<class 'deepspeed.ops.adam.cpu_adam.DeepSpeedCPUAdam'>
117
+ [2024-08-21 21:53:48,911] [INFO] [logging.py:96:log_dist] [Rank 0] Creating fp16 ZeRO stage 3 optimizer, MiCS is enabled False, Hierarchical params gather False
118
+ [2024-08-21 21:53:48,911] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.bfloat16 ZeRO stage 3 optimizer
119
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
120
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
121
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
122
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
123
+ Adam Optimizer #0 is created with AVX512 arithmetic capability.
124
+ Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
125
+ [2024-08-21 21:53:49,141] [INFO] [utils.py:781:see_memory_usage] Stage 3 initialize beginning
126
+ [2024-08-21 21:53:49,142] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.49 GB CA 0.49 GB Max_CA 0 GB
127
+ [2024-08-21 21:53:49,142] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 46.36 GB, percent = 2.5%
128
+ [2024-08-21 21:53:49,143] [INFO] [stage3.py:130:__init__] Reduce bucket size 16777216
129
+ [2024-08-21 21:53:49,143] [INFO] [stage3.py:131:__init__] Prefetch bucket size 15099494
130
+ [2024-08-21 21:53:49,256] [INFO] [utils.py:781:see_memory_usage] DeepSpeedZeRoOffload initialize [begin]
131
+ [2024-08-21 21:53:49,257] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
132
+ [2024-08-21 21:53:49,257] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 46.36 GB, percent = 2.5%
133
+ Parameter Offload: Total persistent parameters: 266240 in 65 params
134
+ [2024-08-21 21:53:49,390] [INFO] [utils.py:781:see_memory_usage] DeepSpeedZeRoOffload initialize [end]
135
+ [2024-08-21 21:53:49,391] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
136
+ [2024-08-21 21:53:49,391] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 46.36 GB, percent = 2.5%
137
+ [2024-08-21 21:53:49,511] [INFO] [utils.py:781:see_memory_usage] Before creating fp16 partitions
138
+ [2024-08-21 21:53:49,512] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
139
+ [2024-08-21 21:53:49,512] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 46.36 GB, percent = 2.5%
140
+ [2024-08-21 21:53:51,194] [INFO] [utils.py:781:see_memory_usage] After creating fp16 partitions: 1
141
+ [2024-08-21 21:53:51,195] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
142
+ [2024-08-21 21:53:51,195] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 68.43 GB, percent = 3.7%
143
+ [2024-08-21 21:53:51,430] [INFO] [utils.py:781:see_memory_usage] Before creating fp32 partitions
144
+ [2024-08-21 21:53:51,430] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
145
+ [2024-08-21 21:53:51,431] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 73.81 GB, percent = 3.9%
146
+ [2024-08-21 21:53:52,894] [INFO] [utils.py:781:see_memory_usage] After creating fp32 partitions
147
+ [2024-08-21 21:53:52,894] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
148
+ [2024-08-21 21:53:52,894] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 87.89 GB, percent = 4.7%
149
+ [2024-08-21 21:53:53,023] [INFO] [utils.py:781:see_memory_usage] Before initializing optimizer states
150
+ [2024-08-21 21:53:53,024] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
151
+ [2024-08-21 21:53:53,024] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 92.17 GB, percent = 4.9%
152
+ [2024-08-21 21:53:56,688] [INFO] [utils.py:781:see_memory_usage] After initializing optimizer states
153
+ [2024-08-21 21:53:56,689] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.49 GB Max_CA 0 GB
154
+ [2024-08-21 21:53:56,689] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 120.47 GB, percent = 6.4%
155
+ [2024-08-21 21:53:56,690] [INFO] [stage3.py:485:_setup_for_real_optimizer] optimizer state initialized
156
+ [2024-08-21 21:53:58,502] [INFO] [utils.py:781:see_memory_usage] After initializing ZeRO optimizer
157
+ [2024-08-21 21:53:58,502] [INFO] [utils.py:782:see_memory_usage] MA 0.03 GB Max_MA 0.52 GB CA 0.73 GB Max_CA 1 GB
158
+ [2024-08-21 21:53:58,502] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory: used = 136.86 GB, percent = 7.3%
159
+ [2024-08-21 21:53:58,503] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = DeepSpeedZeroOptimizer_Stage3
160
+ [2024-08-21 21:53:58,503] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using configured LR scheduler = None
161
+ [2024-08-21 21:53:58,503] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = None
162
+ [2024-08-21 21:53:58,503] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0], mom=[(0.9, 0.999)]
163
+ [2024-08-21 21:53:58,503] [INFO] [config.py:997:print] DeepSpeedEngine configuration:
164
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] activation_checkpointing_config {
165
+ "partition_activations": false,
166
+ "contiguous_memory_optimization": false,
167
+ "cpu_checkpointing": false,
168
+ "number_checkpoints": null,
169
+ "synchronize_checkpoint_boundary": false,
170
+ "profile": false
171
+ }
172
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
173
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] amp_enabled .................. False
174
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] amp_params ................... False
175
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] autotuning_config ............ {
176
+ "enabled": false,
177
+ "start_step": null,
178
+ "end_step": null,
179
+ "metric_path": null,
180
+ "arg_mappings": null,
181
+ "metric": "throughput",
182
+ "model_info": null,
183
+ "results_dir": "autotuning_results",
184
+ "exps_dir": "autotuning_exps",
185
+ "overwrite": true,
186
+ "fast": true,
187
+ "start_profile_step": 3,
188
+ "end_profile_step": 5,
189
+ "tuner_type": "gridsearch",
190
+ "tuner_early_stopping": 5,
191
+ "tuner_num_trials": 50,
192
+ "model_info_path": null,
193
+ "mp_size": 1,
194
+ "max_train_batch_size": null,
195
+ "min_train_batch_size": 1,
196
+ "max_train_micro_batch_size_per_gpu": 1.024000e+03,
197
+ "min_train_micro_batch_size_per_gpu": 1,
198
+ "num_tuning_micro_batch_sizes": 3
199
+ }
200
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] bfloat16_enabled ............. True
201
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] bfloat16_immediate_grad_update False
202
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] checkpoint_parallel_write_pipeline False
203
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] checkpoint_tag_validation_enabled True
204
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] checkpoint_tag_validation_fail False
205
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7fe37314a5a0>
206
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] communication_data_type ...... None
207
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}}
208
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] curriculum_enabled_legacy .... False
209
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] curriculum_params_legacy ..... False
210
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] data_efficiency_config ....... {'enabled': False, 'seed': 1234, 'data_sampling': {'enabled': False, 'num_epochs': 1000, 'num_workers': 0, 'curriculum_learning': {'enabled': False}}, 'data_routing': {'enabled': False, 'random_ltd': {'enabled': False, 'layer_token_lr_schedule': {'enabled': False}}}}
211
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] data_efficiency_enabled ...... False
212
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] dataloader_drop_last ......... False
213
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] disable_allgather ............ False
214
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] dump_state ................... False
215
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] dynamic_loss_scale_args ...... None
216
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] eigenvalue_enabled ........... False
217
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] eigenvalue_gas_boundary_resolution 1
218
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] eigenvalue_layer_name ........ bert.encoder.layer
219
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] eigenvalue_layer_num ......... 0
220
+ [2024-08-21 21:53:58,504] [INFO] [config.py:1001:print] eigenvalue_max_iter .......... 100
221
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] eigenvalue_stability ......... 1e-06
222
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] eigenvalue_tol ............... 0.01
223
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] eigenvalue_verbose ........... False
224
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] elasticity_enabled ........... False
225
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] flops_profiler_config ........ {
226
+ "enabled": false,
227
+ "recompute_fwd_factor": 0.0,
228
+ "profile_step": 1,
229
+ "module_depth": -1,
230
+ "top_modules": 1,
231
+ "detailed": true,
232
+ "output_file": null
233
+ }
234
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] fp16_auto_cast ............... None
235
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] fp16_enabled ................. False
236
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] fp16_master_weights_and_gradients False
237
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] global_rank .................. 0
238
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] grad_accum_dtype ............. None
239
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] gradient_accumulation_steps .. 1
240
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] gradient_clipping ............ 1.0
241
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] gradient_predivide_factor .... 1.0
242
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] graph_harvesting ............. False
243
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] hybrid_engine ................ enabled=False max_out_tokens=512 inference_tp_size=1 release_inference_cache=False pin_parameters=True tp_gather_partition_size=8
244
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] initial_dynamic_scale ........ 1
245
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] load_universal_checkpoint .... False
246
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] loss_scale ................... 1.0
247
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] memory_breakdown ............. False
248
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] mics_hierarchial_params_gather False
249
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] mics_shard_size .............. -1
250
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') comet=CometConfig(enabled=False, samples_log_interval=100, project=None, workspace=None, api_key=None, experiment_name=None, experiment_key=None, online=None, mode=None) wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') enabled=False
251
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] nebula_config ................ {
252
+ "enabled": false,
253
+ "persistent_storage_path": null,
254
+ "persistent_time_interval": 100,
255
+ "num_of_version_in_retention": 2,
256
+ "enable_nebula_load": true,
257
+ "load_path": null
258
+ }
259
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] optimizer_legacy_fusion ...... False
260
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] optimizer_name ............... None
261
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] optimizer_params ............. None
262
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0, 'pipe_partitioned': True, 'grad_partitioned': True}
263
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] pld_enabled .................. False
264
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] pld_params ................... False
265
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] prescale_gradients ........... False
266
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] scheduler_name ............... None
267
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] scheduler_params ............. None
268
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] seq_parallel_communication_data_type torch.float32
269
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] sparse_attention ............. None
270
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] sparse_gradients_enabled ..... False
271
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] steps_per_print .............. inf
272
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] timers_config ................ enabled=True synchronized=True
273
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] train_batch_size ............. 128
274
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] train_micro_batch_size_per_gpu 16
275
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] use_data_before_expert_parallel_ False
276
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] use_node_local_storage ....... False
277
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] wall_clock_breakdown ......... False
278
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] weight_quantization_config ... None
279
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] world_size ................... 8
280
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] zero_allow_untested_optimizer True
281
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] zero_config .................. stage=3 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=16777216 use_multi_rank_bucket_allreduce=True allgather_partitions=True allgather_bucket_size=500,000,000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=DeepSpeedZeroOffloadParamConfig(device='cpu', nvme_path=None, buffer_count=5, buffer_size=100,000,000, max_in_cpu=1,000,000,000, pin_memory=True) offload_optimizer=DeepSpeedZeroOffloadOptimizerConfig(device='cpu', nvme_path=None, buffer_count=4, pin_memory=True, pipeline=False, pipeline_read=False, pipeline_write=False, fast_init=False, ratio=1.0) sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=15099494 param_persistence_threshold=40960 model_persistence_threshold=sys.maxsize max_live_parameters=6000000000 max_reuse_distance=6000000000 gather_16bit_weights_on_model_save=True use_all_reduce_for_fetch_params=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False zero_hpz_partition_size=1 zero_quantized_weights=False zero_quantized_nontrainable_weights=False zero_quantized_gradients=False mics_shard_size=-1 mics_hierarchical_params_gather=False memory_efficient_linear=True pipeline_loading_checkpoint=False override_module_apply=True
282
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] zero_enabled ................. True
283
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] zero_force_ds_cpu_optimizer .. True
284
+ [2024-08-21 21:53:58,505] [INFO] [config.py:1001:print] zero_optimization_stage ...... 3
285
+ [2024-08-21 21:53:58,505] [INFO] [config.py:987:print_user_config] json = {
286
+ "bf16": {
287
+ "enabled": true
288
+ },
289
+ "zero_optimization": {
290
+ "stage": 3,
291
+ "offload_optimizer": {
292
+ "device": "cpu",
293
+ "pin_memory": true
294
+ },
295
+ "offload_param": {
296
+ "device": "cpu",
297
+ "pin_memory": true
298
+ },
299
+ "overlap_comm": true,
300
+ "contiguous_gradients": true,
301
+ "sub_group_size": 1.000000e+09,
302
+ "reduce_bucket_size": 1.677722e+07,
303
+ "stage3_prefetch_bucket_size": 1.509949e+07,
304
+ "stage3_param_persistence_threshold": 4.096000e+04,
305
+ "stage3_max_live_parameters": 6.000000e+09,
306
+ "stage3_max_reuse_distance": 6.000000e+09,
307
+ "stage3_gather_16bit_weights_on_model_save": true
308
+ },
309
+ "gradient_accumulation_steps": 1,
310
+ "gradient_clipping": 1.0,
311
+ "steps_per_print": inf,
312
+ "train_batch_size": 128,
313
+ "train_micro_batch_size_per_gpu": 16,
314
+ "wall_clock_breakdown": false,
315
+ "fp16": {
316
+ "enabled": false
317
+ },
318
+ "zero_allow_untested_optimizer": true
319
+ }
320
+  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
321
+  [WARNING]  async_io: please install the libaio-dev package with apt
322
+  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a2db86ac2970837708ac7b450ce93cf17b0cadc09b548cb8ff679010aedcf5a
3
+ size 4938985352
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:046c3c4faba9e728cbc621520d1275e3ad808213cb80c617a8739cbd6ffcdc9d
3
+ size 4947390880
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27af04cefbdd5d9df8cb4f570a14e2a939b8868db2c5d4e1a52016c1d59a907b
3
+ size 3590488816
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de687e2e30feac1bfea575b97f36c818323a792fa7a062bf675544f7394bfc64
3
+ size 561984
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 13476831232
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "▁<PRE>",
4
+ "▁<MID>",
5
+ "▁<SUF>",
6
+ "▁<EOT>"
7
+ ],
8
+ "bos_token": {
9
+ "content": "<s>",
10
+ "lstrip": false,
11
+ "normalized": false,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ },
15
+ "eos_token": {
16
+ "content": "</s>",
17
+ "lstrip": false,
18
+ "normalized": false,
19
+ "rstrip": false,
20
+ "single_word": false
21
+ },
22
+ "pad_token": "</s>",
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "32000": {
30
+ "content": "▁<PRE>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32001": {
38
+ "content": "▁<MID>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "32002": {
46
+ "content": "▁<SUF>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "32003": {
54
+ "content": "▁<EOT>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ }
61
+ },
62
+ "additional_special_tokens": [
63
+ "▁<PRE>",
64
+ "▁<MID>",
65
+ "▁<SUF>",
66
+ "▁<EOT>"
67
+ ],
68
+ "bos_token": "<s>",
69
+ "clean_up_tokenization_spaces": false,
70
+ "eos_token": "</s>",
71
+ "eot_token": "▁<EOT>",
72
+ "fill_token": "<FILL_ME>",
73
+ "legacy": null,
74
+ "middle_token": "▁<MID>",
75
+ "model_max_length": 1000000000000000019884624838656,
76
+ "pad_token": "</s>",
77
+ "prefix_token": "▁<PRE>",
78
+ "sp_model_kwargs": {},
79
+ "suffix_first": false,
80
+ "suffix_token": "▁<SUF>",
81
+ "tokenizer_class": "CodeLlamaTokenizer",
82
+ "unk_token": "<unk>",
83
+ "use_default_system_prompt": false
84
+ }