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Browse files- README.md +84 -0
- adapters/adapter_config.json +28 -0
- adapters/adapter_model.bin +3 -0
- config.json +28 -0
- configs/tiny.yml +67 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T
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model-index:
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- name: airoboros-lora-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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# airoboros-lora-out
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7230
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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: 0.0002
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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: 2
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- total_train_batch_size: 16
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.999,0.95) 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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9777 | 0.0 | 1 | 1.0628 |
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| 0.6566 | 0.5 | 379 | 0.7230 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.6.0
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adapters/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 64,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"up_proj",
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"q_proj",
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"down_proj",
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"gate_proj",
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"v_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapters/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3a138753a85c60ac34740af71a7f25569658bd44296d514cbd3f1f8e21fe918
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size 403812573
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config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T",
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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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"attention_dropout": 0.0,
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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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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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": "4.36.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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configs/tiny.yml
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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is_llama_derived_model: true
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load_in_8bit: true
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load_in_4bit: false
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strict: false
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datasets:
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- path: jondurbin/airoboros-3.1
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type: sharegpt
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dataset_prepared_path:
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val_set_size: 0.01
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output_dir: ./airoboros-lora-out
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sequence_len: 2048
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sample_packing: true
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adapter: lora
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lora_model_dir:
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lora_r: 128
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lora_alpha: 64
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lora_dropout: 0.1
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: airoboros-tinyllama
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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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gradient_accumulation_steps: 1
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micro_batch_size: 8
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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adam_beta1: 0.999
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adam_beta2: 0.95
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adam_eps: 0.00001
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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: true
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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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warmup_steps: 100
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evals_per_epoch: 2
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eval_table_size:
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saves_per_epoch: 2
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debug:
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deepspeed:
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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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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.36.2"
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}
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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:a2378650a1b7ebef9ee3ee7506940f49b832ff448d4634cb80a254202238d624
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size 2200164273
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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": "</s>",
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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.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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26 |
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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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"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": "</s>",
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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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"trust_remote_code": false,
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"unk_token": "<unk>",
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"use_default_system_prompt": false,
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"use_fast": true
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}
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