Upload folder using huggingface_hub
Browse files- README.md +169 -0
- added_tokens.json +4 -0
- config.json +26 -0
- generation_config.json +7 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors +3 -0
- model.safetensors.index.json +298 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +60 -0
README.md
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---
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base_model: alpindale/Mistral-7B-v0.2-hf
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tags:
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- generated_from_trainer
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model-index:
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- name: workspace/dolphin-2.8-mistral-7b
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.0`
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```yaml
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base_model: alpindale/Mistral-7B-v0.2-hf
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model_type: MistralForCausalLM
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tokenizer_type: LlamaTokenizer
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is_mistral_derived_model: true
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: /workspace/datasets/dolphin201-sharegpt2.jsonl
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type: sharegpt
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- path: /workspace/datasets/dolphin-coder-translate-sharegpt2.jsonl
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type: sharegpt
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- path: /workspace/datasets/dolphin-coder-codegen-sharegpt2.jsonl
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type: sharegpt
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- path: /workspace/datasets/m-a-p_Code-Feedback-sharegpt.jsonl
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type: sharegpt
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- path: /workspace/datasets/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt.jsonl
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type: sharegpt
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- path: /workspace/datasets/not_samantha_norefusals.jsonl
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type: sharegpt
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- path: /workspace/datasets/openhermes2_5-sharegpt.jsonl
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type: sharegpt
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chat_template: chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.001
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output_dir: /workspace/dolphin-2.8-mistral-7b
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+
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sequence_len: 16384
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sample_packing: true
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pad_to_sequence_len: true
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wandb_project: dolphin
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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+
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gradient_accumulation_steps: 8
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micro_batch_size: 3
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num_epochs: 4
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adam_beta2: 0.95
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adam_epsilon: 0.00001
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max_grad_norm: 1.0
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lr_scheduler: cosine
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learning_rate: 0.000005
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optimizer: adamw_bnb_8bit
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 10
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eval_steps: 73
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eval_table_size:
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eval_table_max_new_tokens:
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eval_sample_packing: false
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saves_per_epoch:
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save_steps: 73
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save_total_limit: 2
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debug:
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deepspeed: deepspeed_configs/zero3_bf16.json
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weight_decay: 0.1
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fsdp:
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fsdp_config:
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special_tokens:
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eos_token: "<|im_end|>"
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tokens:
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- "<|im_start|>"
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```
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</details><br>
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# workspace/dolphin-2.8-mistral-7b
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This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4828
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 3
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- eval_batch_size: 3
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 10
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 240
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- total_eval_batch_size: 30
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1736 | 0.0 | 1 | 1.0338 |
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| 0.6106 | 0.36 | 73 | 0.5439 |
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| 0.5766 | 0.72 | 146 | 0.5171 |
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| 0.5395 | 1.06 | 219 | 0.5045 |
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| 0.5218 | 1.42 | 292 | 0.4976 |
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| 0.5336 | 1.78 | 365 | 0.4915 |
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| 0.5018 | 2.13 | 438 | 0.4885 |
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| 0.5113 | 2.48 | 511 | 0.4856 |
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| 0.5066 | 2.84 | 584 | 0.4838 |
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| 0.4967 | 3.19 | 657 | 0.4834 |
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| 0.4956 | 3.55 | 730 | 0.4830 |
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| 0.5026 | 3.9 | 803 | 0.4828 |
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+
|
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+
|
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
|
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"architectures": [
|
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"MistralForCausalLM"
|
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],
|
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"attention_dropout": 0.0,
|
7 |
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"bos_token_id": 1,
|
8 |
+
"eos_token_id": 32000,
|
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"hidden_act": "silu",
|
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"hidden_size": 4096,
|
11 |
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"initializer_range": 0.02,
|
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"intermediate_size": 14336,
|
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+
"max_position_embeddings": 32768,
|
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"model_type": "mistral",
|
15 |
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"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"rms_norm_eps": 1e-05,
|
19 |
+
"rope_theta": 1000000.0,
|
20 |
+
"sliding_window": null,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.40.0.dev0",
|
24 |
+
"use_cache": false,
|
25 |
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"vocab_size": 32002
|
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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,
|
4 |
+
"do_sample": true,
|
5 |
+
"eos_token_id": 2,
|
6 |
+
"transformers_version": "4.40.0.dev0"
|
7 |
+
}
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cacee5b1690b6c100a51239811b0ea886a579e6363eed27bbc0c7e9bb897fba8
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size 4943178720
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 539576
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model.safetensors.index.json
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{
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"metadata": {
|
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