qazimbhat1
commited on
Commit
•
aa127ad
1
Parent(s):
4367907
Add initial model files
Browse files- config.json +53 -0
- generation_config.json +6 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +854 -0
- special_tokens_map.json +33 -0
- tokenization_crystalcoder_fast.py +144 -0
- tokenizer.json +0 -0
- tokenizer_config.json +269 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
config.json
ADDED
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{
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"_name_or_path": "LLM360/CrystalChat",
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"activation_function": "swiglu",
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"architectures": [
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"LlavaCrystalForCausalLM"
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],
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"attn_pdrop": 0.0,
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"auto_map": {
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"AutoConfig": "LLM360/CrystalChat--configuration_crystalcoder.CrystalCoderConfig",
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"AutoModel": "LLM360/CrystalChat--modeling_crystalcoder.CrystalCoderModel",
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"AutoModelForCausalLM": "LLM360/CrystalChat--modeling_crystalcoder.CrystalCoderLMHeadModel"
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"eos_token_id": 2,
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"freeze_mm_mlp_adapter": false,
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"image_aspect_ratio": "pad",
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"mm_hidden_size": 1024,
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"mm_patch_num": 576,
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"mm_projector_lr": null,
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"mm_projector_type": "mlp2x_gelu",
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"mm_vision_tower": "openai/clip-vit-large-patch14-336",
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"model_type": "llava_crystal",
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"mup_embeddings_scale": 14.6,
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"mup_output_alpha": 2.22,
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"mup_scale_qk_dot_by_d": true,
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"mup_width_scale": 0.0625,
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"n_embd": 4096,
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"n_head": 32,
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"n_inner": 10922,
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"n_layer": 32,
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"n_positions": 2048,
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"position_embedding_type": "rotary",
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.0,
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"rotary_dim": 32,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"tokenizer_model_max_length": 2048,
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"tokenizer_padding_side": "right",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.31.0",
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"tune_mm_mlp_adapter": false,
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"use_cache": true,
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"use_mm_proj": true,
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"vocab_size": 32032
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.31.0"
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}
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pytorch_model-00001-of-00002.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe0566431a4cc3e74fe974a1620e8f3a5e877c6e3ec83f63697de3702d2b22cf
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size 9928636172
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pytorch_model-00002-of-00002.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:64a78c24a5bfda7b04797d4a2418e8994f7fd4342daa2e8b378c405c0db0b118
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size 3871196172
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pytorch_model.bin.index.json
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{
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"metadata": {
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"total_size": 13799531776
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},
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"weight_map": {
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"lm_head.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.attn.c_attn.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.attn.c_attn.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.attn.c_proj.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.attn.c_proj.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.ln_1.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.ln_1.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.ln_2.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.ln_2.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.mlp.c_fc.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.mlp.c_fc.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.mlp.c_fc2.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.mlp.c_fc2.weight": "pytorch_model-00001-of-00002.bin",
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"transformer.h.0.mlp.c_proj.bias": "pytorch_model-00001-of-00002.bin",
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"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "pytorch_model-00002-of-00002.bin",
|
789 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "pytorch_model-00002-of-00002.bin",
|
790 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "pytorch_model-00002-of-00002.bin",
|
791 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "pytorch_model-00002-of-00002.bin",
|
792 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "pytorch_model-00002-of-00002.bin",
|
793 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
|
794 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "pytorch_model-00002-of-00002.bin",
|
795 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "pytorch_model-00002-of-00002.bin",
|
796 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "pytorch_model-00002-of-00002.bin",
|
797 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
|
798 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "pytorch_model-00002-of-00002.bin",
|
799 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
|
800 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "pytorch_model-00002-of-00002.bin",
|
801 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "pytorch_model-00002-of-00002.bin",
|
802 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "pytorch_model-00002-of-00002.bin",
|
803 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "pytorch_model-00002-of-00002.bin",
|
804 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "pytorch_model-00002-of-00002.bin",
|
805 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "pytorch_model-00002-of-00002.bin",
|
806 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "pytorch_model-00002-of-00002.bin",
|
807 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "pytorch_model-00002-of-00002.bin",
|
808 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "pytorch_model-00002-of-00002.bin",
|
809 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
|
810 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "pytorch_model-00002-of-00002.bin",
|
811 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "pytorch_model-00002-of-00002.bin",
|
812 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "pytorch_model-00002-of-00002.bin",
|
813 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
|
814 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "pytorch_model-00002-of-00002.bin",
|
815 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
|
816 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "pytorch_model-00002-of-00002.bin",
|
817 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "pytorch_model-00002-of-00002.bin",
|
818 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "pytorch_model-00002-of-00002.bin",
|
819 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "pytorch_model-00002-of-00002.bin",
|
820 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "pytorch_model-00002-of-00002.bin",
|
821 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "pytorch_model-00002-of-00002.bin",
|
822 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "pytorch_model-00002-of-00002.bin",
|
823 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "pytorch_model-00002-of-00002.bin",
|
824 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "pytorch_model-00002-of-00002.bin",
|
825 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
|
826 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "pytorch_model-00002-of-00002.bin",
|
827 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "pytorch_model-00002-of-00002.bin",
|
828 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "pytorch_model-00002-of-00002.bin",
|
829 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
|
830 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "pytorch_model-00002-of-00002.bin",
|
831 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
|
832 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "pytorch_model-00002-of-00002.bin",
|
833 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "pytorch_model-00002-of-00002.bin",
|
834 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "pytorch_model-00002-of-00002.bin",
|
835 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "pytorch_model-00002-of-00002.bin",
|
836 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "pytorch_model-00002-of-00002.bin",
|
837 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "pytorch_model-00002-of-00002.bin",
|
838 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "pytorch_model-00002-of-00002.bin",
|
839 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "pytorch_model-00002-of-00002.bin",
|
840 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "pytorch_model-00002-of-00002.bin",
|
841 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
|
842 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "pytorch_model-00002-of-00002.bin",
|
843 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "pytorch_model-00002-of-00002.bin",
|
844 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "pytorch_model-00002-of-00002.bin",
|
845 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
|
846 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "pytorch_model-00002-of-00002.bin",
|
847 |
+
"transformer.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
|
848 |
+
"transformer.vision_tower.vision_tower.vision_model.post_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
849 |
+
"transformer.vision_tower.vision_tower.vision_model.post_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
850 |
+
"transformer.vision_tower.vision_tower.vision_model.pre_layrnorm.bias": "pytorch_model-00002-of-00002.bin",
|
851 |
+
"transformer.vision_tower.vision_tower.vision_model.pre_layrnorm.weight": "pytorch_model-00002-of-00002.bin",
|
852 |
+
"transformer.wte.weight": "pytorch_model-00001-of-00002.bin"
|
853 |
+
}
|
854 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
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|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>",
|
6 |
+
"<|fim_prefix|>",
|
7 |
+
"<|fim_middle|>",
|
8 |
+
"<|fim_suffix|>",
|
9 |
+
"<|fim_pad|>",
|
10 |
+
"<|filename|>",
|
11 |
+
"<|gh_stars|>",
|
12 |
+
"<|issue_start|>",
|
13 |
+
"<|issue_comment|>",
|
14 |
+
"<|issue_closed|>",
|
15 |
+
"<|jupyter_start|>",
|
16 |
+
"<|jupyter_text|>",
|
17 |
+
"<|jupyter_code|>",
|
18 |
+
"<|jupyter_output|>",
|
19 |
+
"<|empty_output|>",
|
20 |
+
"<|commit_before|>",
|
21 |
+
"<|commit_msg|>",
|
22 |
+
"<|commit_after|>",
|
23 |
+
"<|reponame|>",
|
24 |
+
"<|im_start|>",
|
25 |
+
"<|im_end|>",
|
26 |
+
"<|sys_start|>",
|
27 |
+
"<|sys_end|>"
|
28 |
+
],
|
29 |
+
"bos_token": "<s>",
|
30 |
+
"eos_token": "</s>",
|
31 |
+
"pad_token": "<unk>",
|
32 |
+
"unk_token": "<unk>"
|
33 |
+
}
|
tokenization_crystalcoder_fast.py
ADDED
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
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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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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
import os
|
3 |
+
from shutil import copyfile
|
4 |
+
from typing import Optional, Tuple
|
5 |
+
|
6 |
+
from tokenizers import processors
|
7 |
+
|
8 |
+
from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
|
9 |
+
from transformers.utils import is_sentencepiece_available, logging
|
10 |
+
from transformers.utils.versions import require_version
|
11 |
+
|
12 |
+
|
13 |
+
require_version("tokenizers>=0.13.3")
|
14 |
+
|
15 |
+
|
16 |
+
|
17 |
+
logger = logging.get_logger(__name__)
|
18 |
+
VOCAB_FILES_NAMES = {"vocab_file": "tokenizer.model", "tokenizer_file": "tokenizer.json"}
|
19 |
+
|
20 |
+
# fmt: off
|
21 |
+
DEFAULT_SYSTEM_PROMPT = """You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your \
|
22 |
+
answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
|
23 |
+
that your responses are socially unbiased and positive in nature.
|
24 |
+
|
25 |
+
If a question does not make any sense, or is not factually coherent, explain why instead of answering something not \
|
26 |
+
correct. If you don't know the answer to a question, please don't share false information."""
|
27 |
+
# fmt: on
|
28 |
+
|
29 |
+
|
30 |
+
class CrystalCoderTokenizerFast(PreTrainedTokenizerFast):
|
31 |
+
|
32 |
+
|
33 |
+
vocab_files_names = VOCAB_FILES_NAMES
|
34 |
+
slow_tokenizer_class = None
|
35 |
+
padding_side = "left"
|
36 |
+
model_input_names = ["input_ids", "attention_mask"]
|
37 |
+
|
38 |
+
def __init__(
|
39 |
+
self,
|
40 |
+
vocab_file=None,
|
41 |
+
tokenizer_file=None,
|
42 |
+
clean_up_tokenization_spaces=False,
|
43 |
+
unk_token="<|unk|>",
|
44 |
+
bos_token="<|startoftext|>",
|
45 |
+
eos_token="<|endoftext|>",
|
46 |
+
add_bos_token=False,
|
47 |
+
add_eos_token=False,
|
48 |
+
use_default_system_prompt=False,
|
49 |
+
**kwargs,
|
50 |
+
):
|
51 |
+
super().__init__(
|
52 |
+
vocab_file=vocab_file,
|
53 |
+
tokenizer_file=tokenizer_file,
|
54 |
+
clean_up_tokenization_spaces=clean_up_tokenization_spaces,
|
55 |
+
unk_token=unk_token,
|
56 |
+
bos_token=bos_token,
|
57 |
+
eos_token=eos_token,
|
58 |
+
use_default_system_prompt=use_default_system_prompt,
|
59 |
+
**kwargs,
|
60 |
+
)
|
61 |
+
self._add_bos_token = add_bos_token
|
62 |
+
self._add_eos_token = add_eos_token
|
63 |
+
self.update_post_processor()
|
64 |
+
self.use_default_system_prompt = use_default_system_prompt
|
65 |
+
self.vocab_file = vocab_file
|
66 |
+
|
67 |
+
@property
|
68 |
+
def can_save_slow_tokenizer(self) -> bool:
|
69 |
+
return os.path.isfile(self.vocab_file) if self.vocab_file else False
|
70 |
+
|
71 |
+
def update_post_processor(self):
|
72 |
+
"""
|
73 |
+
Updates the underlying post processor with the current `bos_token` and `eos_token`.
|
74 |
+
"""
|
75 |
+
bos = self.bos_token
|
76 |
+
bos_token_id = self.bos_token_id
|
77 |
+
if bos is None and self.add_bos_token:
|
78 |
+
raise ValueError("add_bos_token = True but bos_token = None")
|
79 |
+
|
80 |
+
eos = self.eos_token
|
81 |
+
eos_token_id = self.eos_token_id
|
82 |
+
if eos is None and self.add_eos_token:
|
83 |
+
raise ValueError("add_eos_token = True but eos_token = None")
|
84 |
+
|
85 |
+
single = f"{(bos+':0 ') if self.add_bos_token else ''}$A:0{(' '+eos+':0') if self.add_eos_token else ''}"
|
86 |
+
pair = f"{single}{(' '+bos+':1') if self.add_bos_token else ''} $B:1{(' '+eos+':1') if self.add_eos_token else ''}"
|
87 |
+
|
88 |
+
special_tokens = []
|
89 |
+
if self.add_bos_token:
|
90 |
+
special_tokens.append((bos, bos_token_id))
|
91 |
+
if self.add_eos_token:
|
92 |
+
special_tokens.append((eos, eos_token_id))
|
93 |
+
self._tokenizer.post_processor = processors.TemplateProcessing(
|
94 |
+
single=single, pair=pair, special_tokens=special_tokens
|
95 |
+
)
|
96 |
+
|
97 |
+
@property
|
98 |
+
def add_eos_token(self):
|
99 |
+
return self._add_eos_token
|
100 |
+
|
101 |
+
@property
|
102 |
+
def add_bos_token(self):
|
103 |
+
return self._add_bos_token
|
104 |
+
|
105 |
+
@add_eos_token.setter
|
106 |
+
def add_eos_token(self, value):
|
107 |
+
self._add_eos_token = value
|
108 |
+
self.update_post_processor()
|
109 |
+
|
110 |
+
@add_bos_token.setter
|
111 |
+
def add_bos_token(self, value):
|
112 |
+
self._add_bos_token = value
|
113 |
+
self.update_post_processor()
|
114 |
+
|
115 |
+
def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]:
|
116 |
+
if not self.can_save_slow_tokenizer:
|
117 |
+
raise ValueError(
|
118 |
+
"Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
|
119 |
+
"tokenizer."
|
120 |
+
)
|
121 |
+
|
122 |
+
if not os.path.isdir(save_directory):
|
123 |
+
logger.error(f"Vocabulary path ({save_directory}) should be a directory")
|
124 |
+
return
|
125 |
+
out_vocab_file = os.path.join(
|
126 |
+
save_directory, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]
|
127 |
+
)
|
128 |
+
|
129 |
+
if os.path.abspath(self.vocab_file) != os.path.abspath(out_vocab_file):
|
130 |
+
copyfile(self.vocab_file, out_vocab_file)
|
131 |
+
|
132 |
+
return (out_vocab_file,)
|
133 |
+
|
134 |
+
|
135 |
+
def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None):
|
136 |
+
bos_token_id = [self.bos_token_id] if self.add_bos_token else []
|
137 |
+
eos_token_id = [self.eos_token_id] if self.add_eos_token else []
|
138 |
+
|
139 |
+
output = bos_token_id + token_ids_0 + eos_token_id
|
140 |
+
|
141 |
+
if token_ids_1 is not None:
|
142 |
+
output = output + bos_token_id + token_ids_1 + eos_token_id
|
143 |
+
|
144 |
+
return output
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,269 @@
|
|
|
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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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|
|
|
|
|
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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 |
+
"32000": {
|
28 |
+
"content": "<|fim_prefix|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"32001": {
|
36 |
+
"content": "<|fim_middle|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"32002": {
|
44 |
+
"content": "<|fim_suffix|>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"32003": {
|
52 |
+
"content": "<|fim_pad|>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"32004": {
|
60 |
+
"content": "<|filename|>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"32005": {
|
68 |
+
"content": "<|gh_stars|>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"32006": {
|
76 |
+
"content": "<|issue_start|>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"32007": {
|
84 |
+
"content": "<|issue_comment|>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"32008": {
|
92 |
+
"content": "<|issue_closed|>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"32009": {
|
100 |
+
"content": "<|jupyter_start|>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"32010": {
|
108 |
+
"content": "<|jupyter_text|>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"32011": {
|
116 |
+
"content": "<|jupyter_code|>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
123 |
+
"32012": {
|
124 |
+
"content": "<|jupyter_output|>",
|
125 |
+
"lstrip": false,
|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": true
|
130 |
+
},
|
131 |
+
"32013": {
|
132 |
+
"content": "<|empty_output|>",
|
133 |
+
"lstrip": false,
|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
+
"special": true
|
138 |
+
},
|
139 |
+
"32014": {
|
140 |
+
"content": "<|commit_before|>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
+
"32015": {
|
148 |
+
"content": "<|commit_msg|>",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
+
"32016": {
|
156 |
+
"content": "<|commit_after|>",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": false,
|
160 |
+
"single_word": false,
|
161 |
+
"special": true
|
162 |
+
},
|
163 |
+
"32017": {
|
164 |
+
"content": "<|reponame|>",
|
165 |
+
"lstrip": false,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": false,
|
168 |
+
"single_word": false,
|
169 |
+
"special": true
|
170 |
+
},
|
171 |
+
"32018": {
|
172 |
+
"content": "<|im_start|>",
|
173 |
+
"lstrip": false,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": false,
|
176 |
+
"single_word": false,
|
177 |
+
"special": true
|
178 |
+
},
|
179 |
+
"32019": {
|
180 |
+
"content": "<|im_end|>",
|
181 |
+
"lstrip": false,
|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": false,
|
184 |
+
"single_word": false,
|
185 |
+
"special": true
|
186 |
+
},
|
187 |
+
"32020": {
|
188 |
+
"content": "<|sys_start|>",
|
189 |
+
"lstrip": false,
|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": false,
|
192 |
+
"single_word": false,
|
193 |
+
"special": true
|
194 |
+
},
|
195 |
+
"32021": {
|
196 |
+
"content": "<|sys_end|>",
|
197 |
+
"lstrip": false,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": false,
|
200 |
+
"single_word": false,
|
201 |
+
"special": true
|
202 |
+
}
|
203 |
+
},
|
204 |
+
"additional_special_tokens": [
|
205 |
+
"<unk>",
|
206 |
+
"<s>",
|
207 |
+
"</s>",
|
208 |
+
"<|fim_prefix|>",
|
209 |
+
"<|fim_middle|>",
|
210 |
+
"<|fim_suffix|>",
|
211 |
+
"<|fim_pad|>",
|
212 |
+
"<|filename|>",
|
213 |
+
"<|gh_stars|>",
|
214 |
+
"<|issue_start|>",
|
215 |
+
"<|issue_comment|>",
|
216 |
+
"<|issue_closed|>",
|
217 |
+
"<|jupyter_start|>",
|
218 |
+
"<|jupyter_text|>",
|
219 |
+
"<|jupyter_code|>",
|
220 |
+
"<|jupyter_output|>",
|
221 |
+
"<|empty_output|>",
|
222 |
+
"<|commit_before|>",
|
223 |
+
"<|commit_msg|>",
|
224 |
+
"<|commit_after|>",
|
225 |
+
"<|reponame|>",
|
226 |
+
"<|im_start|>",
|
227 |
+
"<|im_end|>",
|
228 |
+
"<|sys_start|>",
|
229 |
+
"<|sys_end|>"
|
230 |
+
],
|
231 |
+
"auto_map": {
|
232 |
+
"AutoTokenizer": [
|
233 |
+
null,
|
234 |
+
"tokenization_crystalcoder_fast.CrystalCoderTokenizerFast"
|
235 |
+
]
|
236 |
+
},
|
237 |
+
"bos_token": {
|
238 |
+
"__type": "AddedToken",
|
239 |
+
"content": "</s>",
|
240 |
+
"lstrip": false,
|
241 |
+
"normalized": false,
|
242 |
+
"rstrip": false,
|
243 |
+
"single_word": false
|
244 |
+
},
|
245 |
+
"clean_up_tokenization_spaces": false,
|
246 |
+
"eos_token": {
|
247 |
+
"__type": "AddedToken",
|
248 |
+
"content": "</s>",
|
249 |
+
"lstrip": false,
|
250 |
+
"normalized": false,
|
251 |
+
"rstrip": false,
|
252 |
+
"single_word": false
|
253 |
+
},
|
254 |
+
"legacy": false,
|
255 |
+
"model_max_length": 2048,
|
256 |
+
"pad_token": null,
|
257 |
+
"padding_side": "right",
|
258 |
+
"sp_model_kwargs": {},
|
259 |
+
"tokenizer_class": "CrystalCoderTokenizer",
|
260 |
+
"unk_token": {
|
261 |
+
"__type": "AddedToken",
|
262 |
+
"content": "<unk>",
|
263 |
+
"lstrip": false,
|
264 |
+
"normalized": false,
|
265 |
+
"rstrip": false,
|
266 |
+
"single_word": false
|
267 |
+
},
|
268 |
+
"use_default_system_prompt": false
|
269 |
+
}
|
trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1d652a95a91094e3330f9a1d196a763a4e9506de3082f6f155ef81b2dca79efd
|
3 |
+
size 6011
|