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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: croissantllm/CroissantCool-v0.2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: gpfs/workdir/fayssema/models/out_newtok_dataset1
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+ results: []
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+ ---
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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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+
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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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+
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+ axolotl version: `0.4.0`
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+ ```yaml
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+ base_model: croissantllm/CroissantCool-v0.2
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: LlamaTokenizerFast
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+ is_llama_derived_model: true
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+
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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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+
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+ tokens:
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+ - "<|im_start|>"
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+ - "<|im_end|>"
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+
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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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+
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+ datasets:
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+ - path: manu/dataset_1
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+ split: train
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+ type: sharegpt
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+
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+ chat_template: "chatml"
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+ default_system_message: null
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+
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+ dataset_prepared_path: new_pii_2
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+ val_set_size: 0.05
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+ output_dir: /gpfs/workdir/fayssema/models/out_newtok_dataset1
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+
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+ sequence_len: 2048
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+ sample_packing: false
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+ pad_to_sequence_len: false
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+
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+ adapter:
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+ lora_model_dir:
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+ lora_r:
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+ lora_alpha:
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+ lora_dropout:
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+ lora_target_linear:
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+ lora_fan_in_fan_out:
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+
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+ wandb_project:
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 2
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+ micro_batch_size: 16
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+ num_epochs: 3
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+ # optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.00003
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16: false
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+ tf32: true
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+
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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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+ flash_attn_cross_entropy: false
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+ flash_attn_rms_norm: true
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+ flash_attn_fuse_qkv: false
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+ flash_attn_fuse_mlp: true
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+
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+ warmup_steps: 100
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+ evals_per_epoch: 4
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+ eval_table_size:
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
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+ weight_decay: 0.05
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+ fsdp:
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+ fsdp_config:
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+
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+ ```
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+
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+ </details><br>
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+
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+ # gpfs/workdir/fayssema/models/out_newtok_dataset1
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+
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+ This model is a fine-tuned version of [croissantllm/CroissantCool-v0.2](https://huggingface.co/croissantllm/CroissantCool-v0.2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0087
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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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: 100
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0845 | 0.0 | 1 | 0.8684 |
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+ | 0.1841 | 0.25 | 73 | 0.0205 |
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+ | 0.2394 | 0.51 | 146 | 0.0134 |
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+ | 0.1685 | 0.76 | 219 | 0.0128 |
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+ | 0.1385 | 1.01 | 292 | 0.0209 |
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+ | 0.1561 | 1.26 | 365 | 0.0128 |
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+ | 0.1352 | 1.52 | 438 | 0.0090 |
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+ | 0.162 | 1.77 | 511 | 0.0094 |
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+ | 0.0661 | 2.02 | 584 | 0.0085 |
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+ | 0.1344 | 2.27 | 657 | 0.0089 |
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+ | 0.0718 | 2.53 | 730 | 0.0088 |
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+ | 0.0942 | 2.78 | 803 | 0.0087 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ {
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+ ],
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+ "intermediate_size": 5504,
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+ "model_type": "llama",
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 16,
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+ "pretraining_tp": 1,
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+ "rope_theta": 10000.0,
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
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+ },
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+ "special": true
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+ },
821
+ "102": {
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+ },
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+ "103": {
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+ "rstrip": false,
834
+ "single_word": false,
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+ "special": true
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+ },
837
+ "32000": {
838
+ "content": "<|im_start|>",
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+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
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+ },
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+ "32001": {
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+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ }
853
+ },
854
+ "additional_special_tokens": [],
855
+ "bos_token": "<s>",
856
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
857
+ "clean_up_tokenization_spaces": false,
858
+ "eos_token": "</s>",
859
+ "model_max_length": 1000000000000000019884624838656,
860
+ "pad_token": "</s>",
861
+ "tokenizer_class": "LlamaTokenizer",
862
+ "trust_remote_code": false,
863
+ "unk_token": "<unk>",
864
+ "use_default_system_prompt": true,
865
+ "use_fast": true
866
+ }