Heralax
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Browse files- .gitattributes +2 -0
- README.md +143 -0
- added_tokens.json +3 -0
- army-pretrain-7.2B-1-F16.gguf +3 -0
- config.json +27 -0
- generation_config.json +7 -0
- ggml-model-Q8_0.gguf +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +0 -0
- tokenizer_config.json +51 -0
.gitattributes
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*.gguf filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Heralax/army-pretrain-1
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tags:
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- generated_from_trainer
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model-index:
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- name: us-army-finetune-1
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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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.1`
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```yaml
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base_model: Heralax/army-pretrain-1
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tokenizer_type: AutoTokenizer
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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: json
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data_files: us_army_plain_qa_list_open.jsonl
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: json
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data_files: us_army_plain_qa_list_vanilla.jsonl
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: json
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data_files: us_army_plain_qa_list_negative.jsonl
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ds_type: json
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type: sharegpt
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conversation: chatml
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dataset_prepared_path: last_run_prepared
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output_dir: ./us-army-finetune-1
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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shuffle_merged_datasets: true
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wandb_project: mistral-usarmy
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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: 6
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micro_batch_size: 2
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eval_batch_size: 1
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num_epochs: 6
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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learning_rate: 0.000020
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weight_decay: 0
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# Gradient clipping max norm
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max_grad_norm: 1.0
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noisy_embedding_alpha: 0
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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: unsloth
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early_stopping_patience:
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resume_from_checkpoint:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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chat_template: chatml
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warmup_ratio: 0.5
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auto_resume_from_checkpoints: false
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#warmup_ratio: 0.5
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eval_steps: 10
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saves_per_epoch: 1
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eval_sample_packing: false
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save_total_limit: 3
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debug:
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deepspeed: deepspeed_configs/zero2.json
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special_tokens:
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pad_token: "<|end_of_text|>"
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```
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</details><br>
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# us-army-finetune-1
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This model is a fine-tuned version of [Heralax/army-pretrain-1](https://huggingface.co/Heralax/army-pretrain-1) on the None dataset.
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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: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 5
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 60
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- total_eval_batch_size: 5
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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: 48
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- num_epochs: 6
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### Training results
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### Framework versions
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- Transformers 4.45.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.20.0
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added_tokens.json
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{
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"<|end_of_text|>": 32000
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}
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army-pretrain-7.2B-1-F16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7deb6d836e1bcad4d8582b9c7acd14c0ed40fe553aa370f81a12e7efffa4974
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size 14484749216
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config.json
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{
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"_name_or_path": "Heralax/army-pretrain-1",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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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": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0",
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"use_cache": false,
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"vocab_size": 32001
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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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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.45.0"
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}
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ggml-model-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a55e3780edf63b1a5c8a922b67336f7bbd417c02f3c7ec998677bc080cf88832
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size 7695867296
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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:b829aa20aade9424fa731063076ac1d0261433af53b3c9df52aad3d233556d67
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size 14483521198
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special_tokens_map.json
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{
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"bos_token": {
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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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},
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"eos_token": {
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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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},
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"pad_token": {
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"content": "<|end_of_text|>",
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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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},
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"unk_token": {
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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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}
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}
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tokenizer.json
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See raw diff
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tokenizer.model
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Binary file (493 kB). View file
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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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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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},
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"1": {
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"content": "<s>",
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},
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"2": {
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"special": true
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},
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"32000": {
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"content": "<|end_of_text|>",
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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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"bos_token": "<s>",
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"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 %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|end_of_text|>",
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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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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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