Delete .ipynb_checkpoints
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MaziyarPanahi
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.ipynb_checkpoints/README-checkpoint.md
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---
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library_name: peft
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tags:
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- axolotl
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- generated_from_trainer
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base_model: MaziyarPanahi/Qwen1.5-8x7b
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model-index:
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- name: Qwen1.5-8x7b-v0.1
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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/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: MaziyarPanahi/Qwen1.5-8x7b
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model_type: Qwen2ForCausalLM
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tokenizer_type: Qwen2Tokenizer
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trust_remote_code: true
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hub_model_id: MaziyarPanahi/Qwen1.5-8x7b-v0.1
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hf_use_auth_token: true
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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datasets:
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- path: Crystalcareai/MoD-150k
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type: sharegpt
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dataset_prepared_path:
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val_set_size: 0.05
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output_dir: ./Qwen1.5-8x7b-v0.1-lora-out
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model_config:
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output_router_logits: true
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adapter: qlora
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lora_model_dir:
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sequence_len: 2048
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sample_packing: true
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pad_to_sequence_len: true
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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gradient_accumulation_steps: 2
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micro_batch_size: 2
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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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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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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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warmup_steps: 10
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evals_per_epoch: 4
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eval_table_size:
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eval_max_new_tokens: 128
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saves_per_epoch: 1
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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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```
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</details><br>
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# Qwen1.5-8x7b-v0.1
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This model is a fine-tuned version of [MaziyarPanahi/Qwen1.5-8x7b](https://huggingface.co/MaziyarPanahi/Qwen1.5-8x7b) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7945
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_batch_size: 8
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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: 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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| 6.2196 | 0.0 | 1 | 6.1942 |
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| 0.7772 | 0.25 | 513 | 0.8037 |
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| 0.656 | 0.5 | 1026 | 0.7977 |
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| 0.6967 | 0.75 | 1539 | 0.7945 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.0
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.ipynb_checkpoints/config-checkpoint.json
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{
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"_name_or_path": "MaziyarPanahi/Qwen1.5-8x7b",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"eos_token_id": 151643,
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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": 32768,
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"max_window_layers": 28,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"num_local_experts": 8,
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"output_router_logits": true,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.001,
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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": "4.39.0.dev0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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.ipynb_checkpoints/generation_config-checkpoint.json
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{
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"_from_model_config": true,
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"do_sample": true,
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"eos_token_id": 151643,
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"transformers_version": "4.39.0.dev0",
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"use_cache": false
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}
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.ipynb_checkpoints/tokenizer_config-checkpoint.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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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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"151644": {
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"content": "<|im_start|>",
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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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"151645": {
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"content": "<|im_end|>",
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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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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% 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": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null,
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"use_fast": true
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}
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