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Browse files- README.md +77 -0
- added_tokens.json +5 -0
- config.json +27 -0
- generation_config.json +10 -0
- llama-neft.yml +62 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer.model +3 -0
- tokenizer_config.json +46 -0
README.md
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---
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base_model: meta-llama/Llama-2-7b-hf
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tags:
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- generated_from_trainer
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model-index:
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- name: out
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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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# out
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2048
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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: 3.8e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3782 | 0.01 | 1 | 1.4211 |
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| 1.1948 | 0.2 | 14 | 1.2273 |
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| 1.0953 | 0.4 | 28 | 1.2137 |
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| 1.1464 | 0.6 | 42 | 1.2099 |
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| 1.1481 | 0.81 | 56 | 1.2080 |
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| 1.0277 | 1.01 | 70 | 1.2022 |
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| 0.9344 | 1.21 | 84 | 1.2049 |
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| 1.1294 | 1.41 | 98 | 1.2033 |
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| 1.0933 | 1.61 | 112 | 1.2002 |
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| 0.987 | 1.81 | 126 | 1.1996 |
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| 0.9491 | 2.01 | 140 | 1.1972 |
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| 0.9673 | 2.22 | 154 | 1.2058 |
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| 0.99 | 2.42 | 168 | 1.2048 |
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| 0.9241 | 2.62 | 182 | 1.2049 |
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| 0.9204 | 2.82 | 196 | 1.2048 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.14.0
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added_tokens.json
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{
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"</s>": 2,
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"<s>": 1,
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"<unk>": 0
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}
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config.json
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{
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"_name_or_path": "meta-llama/Llama-2-7b-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.34.0.dev0",
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"use_cache": false,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.34.0.dev0"
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}
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llama-neft.yml
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base_model: meta-llama/Llama-2-7b-hf
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base_model_config: meta-llama/Llama-2-7b-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: timdettmers/openassistant-guanaco
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type: completion
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dataset_prepared_path:
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val_set_size: 0.1
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output_dir: ./out
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sequence_len: 4096
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sample_packing: false
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pad_to_sequence_len: false
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wandb_project: llama-neft-guanaco
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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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gradient_accumulation_steps: 2
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micro_batch_size: 8
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num_epochs: 3
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optimizer: adamw_torch
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lr_scheduler: cosine
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learning_rate: 0.000038
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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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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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noisy_embedding_alpha: 5
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warmup_steps: 10
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eval_steps: 0.0666666666
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save_steps:
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debug:
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deepspeed: deepspeed/zero2.json
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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bos_token: "<s>"
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eos_token: "</s>"
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unk_token: "<unk>"
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:24f10932210efbce526d63f23540eee8fdd4f5211368a8be9b282032a0ef6d85
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size 13476871461
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"tokenizer_file": "/workspace/data/huggingface-cache/hub/models--meta-llama--Llama-2-7b-hf/snapshots/6fdf2e60f86ff2481f2241aaee459f85b5b0bbb9/tokenizer.json",
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"trust_remote_code": false,
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"unk_token": "<unk>",
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"use_default_system_prompt": true,
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"use_fast": true
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}
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