Marko Tasic
commited on
Commit
•
c106175
1
Parent(s):
7a40fb6
out
Browse files- out/pretrain/step-00001000/hyperparameters.yaml +66 -0
- out/pretrain/step-00001000/lit_model.pth +3 -0
- out/pretrain/step-00001000/model_config.yaml +33 -0
- out/pretrain/step-00001000/tokenizer.json +0 -0
- out/pretrain/step-00001000/tokenizer_config.json +1036 -0
- out/pretrain/step-00002000/hyperparameters.yaml +66 -0
- out/pretrain/step-00002000/lit_model.pth +3 -0
- out/pretrain/step-00002000/model_config.yaml +33 -0
- out/pretrain/step-00002000/tokenizer.json +0 -0
- out/pretrain/step-00002000/tokenizer_config.json +1036 -0
- out/pretrain/step-00003000/hyperparameters.yaml +66 -0
- out/pretrain/step-00003000/lit_model.pth +3 -0
- out/pretrain/step-00003000/model_config.yaml +33 -0
- out/pretrain/step-00003000/tokenizer.json +0 -0
- out/pretrain/step-00003000/tokenizer_config.json +1036 -0
out/pretrain/step-00001000/hyperparameters.yaml
ADDED
@@ -0,0 +1,66 @@
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+
model_name: tiny-llama-1.1b
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model_config:
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name: ''
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hf_config: {}
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scale_embeddings: false
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block_size: 32768
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vocab_size: 32768
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padding_multiple: 512
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padded_vocab_size: 32768
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n_layer: 20
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n_head: 32
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n_embd: 512
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rotary_percentage: 1.0
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parallel_residual: false
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bias: false
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lm_head_bias: false
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n_query_groups: 4
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shared_attention_norm: false
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norm_class_name: RMSNorm
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post_attention_norm: false
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post_mlp_norm: false
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norm_eps: 1.0e-05
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mlp_class_name: LLaMAMLP
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gelu_approximate: none
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intermediate_size: 2048
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rope_condense_ratio: 1
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rope_base: 500000
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n_expert: 0
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n_expert_per_token: 0
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out_dir: ../out/pretrain
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precision: bf16-true
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resume: auto
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data:
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class_path: litgpt.data.LitData
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init_args:
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data_path: ../data/
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seed: 42
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num_workers: 16
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train:
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save_interval: 1000
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log_interval: 1
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global_batch_size: 512
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micro_batch_size: 12
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lr_warmup_steps: 2000
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max_tokens: 9782206713
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max_seq_length: 2048
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max_norm: 1.0
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min_lr: 4.0e-05
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eval:
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interval: 100
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max_iters: 100
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initial_validation: false
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final_validation: false
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optimizer:
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class_path: grokadamw.GrokAdamW
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init_args:
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lr: 5.0e-05
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weight_decay: 0.1
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betas:
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- 0.9
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- 0.95
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devices: auto
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num_nodes: 1
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tokenizer_dir: ..
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logger_name: wandb
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seed: 42
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out/pretrain/step-00001000/lit_model.pth
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0be881eb2dda2a868f5927902f305f68cee4abe7bc484c8f346dbb4e1bcaa92
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size 866495418
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out/pretrain/step-00001000/model_config.yaml
ADDED
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attention_logit_softcapping: null
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attention_scores_scalar: null
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bias: false
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block_size: 32768
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final_logit_softcapping: null
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gelu_approximate: none
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head_size: 16
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hf_config: {}
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intermediate_size: 2048
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lm_head_bias: false
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mlp_class_name: LLaMAMLP
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n_embd: 512
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n_expert: 0
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n_expert_per_token: 0
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n_head: 32
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n_layer: 20
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n_query_groups: 4
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name: ''
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norm_class_name: RMSNorm
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norm_eps: 1.0e-05
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padded_vocab_size: 32768
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padding_multiple: 512
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parallel_residual: false
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post_attention_norm: false
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post_mlp_norm: false
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rope_base: 500000
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rope_condense_ratio: 1
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rotary_percentage: 1.0
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scale_embeddings: false
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shared_attention_norm: false
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sliding_window_layer_placing: null
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sliding_window_size: null
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vocab_size: 32768
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out/pretrain/step-00001000/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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out/pretrain/step-00001000/tokenizer_config.json
ADDED
@@ -0,0 +1,1036 @@
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1 |
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2 |
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3 |
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4 |
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"single_word": false,
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881 |
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882 |
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},
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883 |
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"110": {
|
884 |
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|
885 |
+
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|
886 |
+
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|
887 |
+
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|
888 |
+
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|
889 |
+
"special": true
|
890 |
+
},
|
891 |
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"111": {
|
892 |
+
"content": "<|reserved_31|>",
|
893 |
+
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|
894 |
+
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|
895 |
+
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|
896 |
+
"single_word": false,
|
897 |
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"special": true
|
898 |
+
},
|
899 |
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"112": {
|
900 |
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"content": "<|reserved_32|>",
|
901 |
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|
902 |
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|
903 |
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|
904 |
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|
905 |
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|
906 |
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907 |
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908 |
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909 |
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910 |
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911 |
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912 |
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|
913 |
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914 |
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915 |
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|
916 |
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917 |
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|
918 |
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|
919 |
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|
920 |
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"single_word": false,
|
921 |
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|
922 |
+
},
|
923 |
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"115": {
|
924 |
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"content": "<|reserved_35|>",
|
925 |
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|
926 |
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|
927 |
+
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|
928 |
+
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|
929 |
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"special": true
|
930 |
+
},
|
931 |
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"116": {
|
932 |
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"content": "<|reserved_36|>",
|
933 |
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|
934 |
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|
935 |
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|
936 |
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|
937 |
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|
938 |
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939 |
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940 |
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941 |
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|
942 |
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|
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|
944 |
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|
945 |
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|
946 |
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947 |
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|
948 |
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|
949 |
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|
950 |
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|
951 |
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|
952 |
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|
953 |
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|
954 |
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|
955 |
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|
956 |
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|
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|
958 |
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|
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|
960 |
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|
961 |
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|
962 |
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963 |
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964 |
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|
965 |
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|
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|
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|
968 |
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|
969 |
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970 |
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971 |
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972 |
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|
975 |
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|
976 |
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|
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|
978 |
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979 |
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980 |
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|
981 |
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|
982 |
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|
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|
984 |
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|
985 |
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|
986 |
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|
987 |
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|
988 |
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"content": "<|reserved_43|>",
|
989 |
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|
990 |
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"normalized": false,
|
991 |
+
"rstrip": false,
|
992 |
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|
993 |
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"special": true
|
994 |
+
},
|
995 |
+
"124": {
|
996 |
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"content": "<|reserved_44|>",
|
997 |
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|
998 |
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|
999 |
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|
1000 |
+
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|
1001 |
+
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|
1002 |
+
},
|
1003 |
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"125": {
|
1004 |
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"content": "<|reserved_45|>",
|
1005 |
+
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|
1006 |
+
"normalized": false,
|
1007 |
+
"rstrip": false,
|
1008 |
+
"single_word": false,
|
1009 |
+
"special": true
|
1010 |
+
},
|
1011 |
+
"126": {
|
1012 |
+
"content": "<|reserved_46|>",
|
1013 |
+
"lstrip": false,
|
1014 |
+
"normalized": false,
|
1015 |
+
"rstrip": false,
|
1016 |
+
"single_word": false,
|
1017 |
+
"special": true
|
1018 |
+
},
|
1019 |
+
"127": {
|
1020 |
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"content": "<|reserved_47|>",
|
1021 |
+
"lstrip": false,
|
1022 |
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"normalized": false,
|
1023 |
+
"rstrip": false,
|
1024 |
+
"single_word": false,
|
1025 |
+
"special": true
|
1026 |
+
}
|
1027 |
+
},
|
1028 |
+
"bos_token": "<s>",
|
1029 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
1030 |
+
"clean_up_tokenization_spaces": false,
|
1031 |
+
"eos_token": "</s>",
|
1032 |
+
"model_max_length": 1000000000000000019884624838656,
|
1033 |
+
"pad_token": "</s>",
|
1034 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
1035 |
+
"unk_token": "<unk>"
|
1036 |
+
}
|
out/pretrain/step-00002000/hyperparameters.yaml
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
model_name: tiny-llama-1.1b
|
2 |
+
model_config:
|
3 |
+
name: ''
|
4 |
+
hf_config: {}
|
5 |
+
scale_embeddings: false
|
6 |
+
block_size: 32768
|
7 |
+
vocab_size: 32768
|
8 |
+
padding_multiple: 512
|
9 |
+
padded_vocab_size: 32768
|
10 |
+
n_layer: 20
|
11 |
+
n_head: 32
|
12 |
+
n_embd: 512
|
13 |
+
rotary_percentage: 1.0
|
14 |
+
parallel_residual: false
|
15 |
+
bias: false
|
16 |
+
lm_head_bias: false
|
17 |
+
n_query_groups: 4
|
18 |
+
shared_attention_norm: false
|
19 |
+
norm_class_name: RMSNorm
|
20 |
+
post_attention_norm: false
|
21 |
+
post_mlp_norm: false
|
22 |
+
norm_eps: 1.0e-05
|
23 |
+
mlp_class_name: LLaMAMLP
|
24 |
+
gelu_approximate: none
|
25 |
+
intermediate_size: 2048
|
26 |
+
rope_condense_ratio: 1
|
27 |
+
rope_base: 500000
|
28 |
+
n_expert: 0
|
29 |
+
n_expert_per_token: 0
|
30 |
+
out_dir: ../out/pretrain
|
31 |
+
precision: bf16-true
|
32 |
+
resume: auto
|
33 |
+
data:
|
34 |
+
class_path: litgpt.data.LitData
|
35 |
+
init_args:
|
36 |
+
data_path: ../data/
|
37 |
+
seed: 42
|
38 |
+
num_workers: 16
|
39 |
+
train:
|
40 |
+
save_interval: 1000
|
41 |
+
log_interval: 1
|
42 |
+
global_batch_size: 512
|
43 |
+
micro_batch_size: 12
|
44 |
+
lr_warmup_steps: 2000
|
45 |
+
max_tokens: 9782206713
|
46 |
+
max_seq_length: 2048
|
47 |
+
max_norm: 1.0
|
48 |
+
min_lr: 4.0e-05
|
49 |
+
eval:
|
50 |
+
interval: 100
|
51 |
+
max_iters: 100
|
52 |
+
initial_validation: false
|
53 |
+
final_validation: false
|
54 |
+
optimizer:
|
55 |
+
class_path: grokadamw.GrokAdamW
|
56 |
+
init_args:
|
57 |
+
lr: 5.0e-05
|
58 |
+
weight_decay: 0.1
|
59 |
+
betas:
|
60 |
+
- 0.9
|
61 |
+
- 0.95
|
62 |
+
devices: auto
|
63 |
+
num_nodes: 1
|
64 |
+
tokenizer_dir: ..
|
65 |
+
logger_name: wandb
|
66 |
+
seed: 42
|
out/pretrain/step-00002000/lit_model.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a2d54d6738518e090b46b31c77f988573b5afd98fcaeaabf0d95dbf366f1c033
|
3 |
+
size 866495482
|
out/pretrain/step-00002000/model_config.yaml
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
attention_logit_softcapping: null
|
2 |
+
attention_scores_scalar: null
|
3 |
+
bias: false
|
4 |
+
block_size: 32768
|
5 |
+
final_logit_softcapping: null
|
6 |
+
gelu_approximate: none
|
7 |
+
head_size: 16
|
8 |
+
hf_config: {}
|
9 |
+
intermediate_size: 2048
|
10 |
+
lm_head_bias: false
|
11 |
+
mlp_class_name: LLaMAMLP
|
12 |
+
n_embd: 512
|
13 |
+
n_expert: 0
|
14 |
+
n_expert_per_token: 0
|
15 |
+
n_head: 32
|
16 |
+
n_layer: 20
|
17 |
+
n_query_groups: 4
|
18 |
+
name: ''
|
19 |
+
norm_class_name: RMSNorm
|
20 |
+
norm_eps: 1.0e-05
|
21 |
+
padded_vocab_size: 32768
|
22 |
+
padding_multiple: 512
|
23 |
+
parallel_residual: false
|
24 |
+
post_attention_norm: false
|
25 |
+
post_mlp_norm: false
|
26 |
+
rope_base: 500000
|
27 |
+
rope_condense_ratio: 1
|
28 |
+
rotary_percentage: 1.0
|
29 |
+
scale_embeddings: false
|
30 |
+
shared_attention_norm: false
|
31 |
+
sliding_window_layer_placing: null
|
32 |
+
sliding_window_size: null
|
33 |
+
vocab_size: 32768
|
out/pretrain/step-00002000/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
out/pretrain/step-00002000/tokenizer_config.json
ADDED
@@ -0,0 +1,1036 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
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"0": {
|
4 |
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"content": "<unk>",
|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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"special": true
|
10 |
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},
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11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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"special": true
|
18 |
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},
|
19 |
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"2": {
|
20 |
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"content": "</s>",
|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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},
|
27 |
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"3": {
|
28 |
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"content": "<|im_start|>",
|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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"special": true
|
34 |
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},
|
35 |
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"4": {
|
36 |
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"content": "<|im_end|>",
|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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"special": true
|
42 |
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},
|
43 |
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"5": {
|
44 |
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"content": "system",
|
45 |
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|
46 |
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|
47 |
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|
48 |
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|
49 |
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"special": true
|
50 |
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},
|
51 |
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"6": {
|
52 |
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|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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"special": true
|
58 |
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},
|
59 |
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"7": {
|
60 |
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"content": "assistant",
|
61 |
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"lstrip": false,
|
62 |
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|
63 |
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|
64 |
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|
65 |
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"special": true
|
66 |
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},
|
67 |
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"8": {
|
68 |
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"content": "tool",
|
69 |
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|
70 |
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|
71 |
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|
72 |
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"single_word": false,
|
73 |
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"special": true
|
74 |
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},
|
75 |
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"9": {
|
76 |
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"content": "<tools>",
|
77 |
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|
78 |
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|
79 |
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|
80 |
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"single_word": false,
|
81 |
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"special": true
|
82 |
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},
|
83 |
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"10": {
|
84 |
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"content": "</tools>",
|
85 |
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|
86 |
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|
87 |
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"rstrip": false,
|
88 |
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|
89 |
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"special": true
|
90 |
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},
|
91 |
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"11": {
|
92 |
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"content": "<tool_call>",
|
93 |
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|
94 |
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"normalized": false,
|
95 |
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"rstrip": false,
|
96 |
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|
97 |
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"special": true
|
98 |
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},
|
99 |
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"12": {
|
100 |
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"content": "</tool_call>",
|
101 |
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"lstrip": false,
|
102 |
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"normalized": false,
|
103 |
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"rstrip": false,
|
104 |
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"single_word": false,
|
105 |
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"special": true
|
106 |
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},
|
107 |
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"13": {
|
108 |
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"content": "<tool_response>",
|
109 |
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|
110 |
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"normalized": false,
|
111 |
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"rstrip": false,
|
112 |
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|
113 |
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"special": true
|
114 |
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},
|
115 |
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"14": {
|
116 |
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"content": "</tool_response>",
|
117 |
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|
118 |
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|
119 |
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|
120 |
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|
121 |
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|
122 |
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},
|
123 |
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"15": {
|
124 |
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"content": "\"arguments\"",
|
125 |
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|
126 |
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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},
|
131 |
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"16": {
|
132 |
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"content": "\"name\"",
|
133 |
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|
134 |
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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"17": {
|
140 |
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141 |
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142 |
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|
143 |
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|
144 |
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|
145 |
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"special": true
|
146 |
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|
147 |
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"18": {
|
148 |
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"content": "</arguments>",
|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
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|
155 |
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"19": {
|
156 |
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"content": "<argument>",
|
157 |
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|
158 |
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|
159 |
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|
160 |
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|
161 |
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162 |
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|
163 |
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"20": {
|
164 |
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"content": "</argument>",
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165 |
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|
166 |
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|
167 |
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|
168 |
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|
169 |
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"special": true
|
170 |
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},
|
171 |
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"21": {
|
172 |
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"content": "<argument-name>",
|
173 |
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|
174 |
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|
175 |
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|
176 |
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|
177 |
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"special": true
|
178 |
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|
179 |
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"22": {
|
180 |
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"content": "</argument-name>",
|
181 |
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|
182 |
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|
183 |
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|
184 |
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|
185 |
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|
186 |
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|
187 |
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"23": {
|
188 |
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|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
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|
194 |
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|
195 |
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"24": {
|
196 |
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"content": "</argument-type>",
|
197 |
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|
198 |
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|
199 |
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|
200 |
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|
201 |
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|
202 |
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|
203 |
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"25": {
|
204 |
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"content": "<argument-value>",
|
205 |
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|
206 |
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|
207 |
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|
208 |
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|
209 |
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|
210 |
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|
211 |
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"26": {
|
212 |
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"content": "</argument-value>",
|
213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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|
218 |
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},
|
219 |
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"27": {
|
220 |
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"content": "<parameter>",
|
221 |
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|
222 |
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|
223 |
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|
224 |
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|
225 |
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|
226 |
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|
227 |
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"28": {
|
228 |
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|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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"29": {
|
236 |
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"content": "<parameter-name>",
|
237 |
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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|
242 |
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|
243 |
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"30": {
|
244 |
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"content": "</parameter-name>",
|
245 |
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|
246 |
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|
247 |
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|
248 |
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|
249 |
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|
250 |
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|
251 |
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"31": {
|
252 |
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|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
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|
259 |
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"32": {
|
260 |
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|
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|
1026 |
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}
|
1027 |
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},
|
1028 |
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"bos_token": "<s>",
|
1029 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
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"clean_up_tokenization_spaces": false,
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|
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"unk_token": "<unk>"
|
1036 |
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}
|
out/pretrain/step-00003000/hyperparameters.yaml
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
model_name: tiny-llama-1.1b
|
2 |
+
model_config:
|
3 |
+
name: ''
|
4 |
+
hf_config: {}
|
5 |
+
scale_embeddings: false
|
6 |
+
block_size: 32768
|
7 |
+
vocab_size: 32768
|
8 |
+
padding_multiple: 512
|
9 |
+
padded_vocab_size: 32768
|
10 |
+
n_layer: 20
|
11 |
+
n_head: 32
|
12 |
+
n_embd: 512
|
13 |
+
rotary_percentage: 1.0
|
14 |
+
parallel_residual: false
|
15 |
+
bias: false
|
16 |
+
lm_head_bias: false
|
17 |
+
n_query_groups: 4
|
18 |
+
shared_attention_norm: false
|
19 |
+
norm_class_name: RMSNorm
|
20 |
+
post_attention_norm: false
|
21 |
+
post_mlp_norm: false
|
22 |
+
norm_eps: 1.0e-05
|
23 |
+
mlp_class_name: LLaMAMLP
|
24 |
+
gelu_approximate: none
|
25 |
+
intermediate_size: 2048
|
26 |
+
rope_condense_ratio: 1
|
27 |
+
rope_base: 500000
|
28 |
+
n_expert: 0
|
29 |
+
n_expert_per_token: 0
|
30 |
+
out_dir: ../out/pretrain
|
31 |
+
precision: bf16-true
|
32 |
+
resume: auto
|
33 |
+
data:
|
34 |
+
class_path: litgpt.data.LitData
|
35 |
+
init_args:
|
36 |
+
data_path: ../data/
|
37 |
+
seed: 42
|
38 |
+
num_workers: 16
|
39 |
+
train:
|
40 |
+
save_interval: 1000
|
41 |
+
log_interval: 1
|
42 |
+
global_batch_size: 512
|
43 |
+
micro_batch_size: 12
|
44 |
+
lr_warmup_steps: 2000
|
45 |
+
max_tokens: 9782206713
|
46 |
+
max_seq_length: 2048
|
47 |
+
max_norm: 1.0
|
48 |
+
min_lr: 4.0e-05
|
49 |
+
eval:
|
50 |
+
interval: 100
|
51 |
+
max_iters: 100
|
52 |
+
initial_validation: false
|
53 |
+
final_validation: false
|
54 |
+
optimizer:
|
55 |
+
class_path: grokadamw.GrokAdamW
|
56 |
+
init_args:
|
57 |
+
lr: 5.0e-05
|
58 |
+
weight_decay: 0.1
|
59 |
+
betas:
|
60 |
+
- 0.9
|
61 |
+
- 0.95
|
62 |
+
devices: auto
|
63 |
+
num_nodes: 1
|
64 |
+
tokenizer_dir: ..
|
65 |
+
logger_name: wandb
|
66 |
+
seed: 42
|
out/pretrain/step-00003000/lit_model.pth
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:4d0f06452054ee00598050f00f6f2e3a2f17f82097ec23086ca7b4a3d854edb5
|
3 |
+
size 866495482
|
out/pretrain/step-00003000/model_config.yaml
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
attention_logit_softcapping: null
|
2 |
+
attention_scores_scalar: null
|
3 |
+
bias: false
|
4 |
+
block_size: 32768
|
5 |
+
final_logit_softcapping: null
|
6 |
+
gelu_approximate: none
|
7 |
+
head_size: 16
|
8 |
+
hf_config: {}
|
9 |
+
intermediate_size: 2048
|
10 |
+
lm_head_bias: false
|
11 |
+
mlp_class_name: LLaMAMLP
|
12 |
+
n_embd: 512
|
13 |
+
n_expert: 0
|
14 |
+
n_expert_per_token: 0
|
15 |
+
n_head: 32
|
16 |
+
n_layer: 20
|
17 |
+
n_query_groups: 4
|
18 |
+
name: ''
|
19 |
+
norm_class_name: RMSNorm
|
20 |
+
norm_eps: 1.0e-05
|
21 |
+
padded_vocab_size: 32768
|
22 |
+
padding_multiple: 512
|
23 |
+
parallel_residual: false
|
24 |
+
post_attention_norm: false
|
25 |
+
post_mlp_norm: false
|
26 |
+
rope_base: 500000
|
27 |
+
rope_condense_ratio: 1
|
28 |
+
rotary_percentage: 1.0
|
29 |
+
scale_embeddings: false
|
30 |
+
shared_attention_norm: false
|
31 |
+
sliding_window_layer_placing: null
|
32 |
+
sliding_window_size: null
|
33 |
+
vocab_size: 32768
|
out/pretrain/step-00003000/tokenizer.json
ADDED
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|
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out/pretrain/step-00003000/tokenizer_config.json
ADDED
@@ -0,0 +1,1036 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<|im_start|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"4": {
|
36 |
+
"content": "<|im_end|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"5": {
|
44 |
+
"content": "system",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"6": {
|
52 |
+
"content": "user",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"7": {
|
60 |
+
"content": "assistant",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"8": {
|
68 |
+
"content": "tool",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"9": {
|
76 |
+
"content": "<tools>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"10": {
|
84 |
+
"content": "</tools>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"11": {
|
92 |
+
"content": "<tool_call>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"12": {
|
100 |
+
"content": "</tool_call>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"13": {
|
108 |
+
"content": "<tool_response>",
|
109 |
+
"lstrip": false,
|
110 |
+
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