End of training
Browse files- README.md +68 -0
- adapter_config.json +36 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +40 -0
- tokenizer.json +0 -0
- tokenizer_config.json +94 -0
- training_args.bin +3 -0
README.md
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---
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base_model: The-matt/llama2_ko-7b_distinctive-snowflake-182_1060
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library_name: transformers
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model_name: bb207786-e7a0-49b0-a161-f586c3a36831
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tags:
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- generated_from_trainer
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- trl
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- grpo
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licence: license
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---
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# Model Card for bb207786-e7a0-49b0-a161-f586c3a36831
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This model is a fine-tuned version of [The-matt/llama2_ko-7b_distinctive-snowflake-182_1060](https://huggingface.co/The-matt/llama2_ko-7b_distinctive-snowflake-182_1060).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="FormlessAI/bb207786-e7a0-49b0-a161-f586c3a36831", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/phoenix-formless/Gradients/runs/mws3s6ov)
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This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
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### Framework versions
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- TRL: 0.18.1
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- Transformers: 4.52.4
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- Pytorch: 2.7.0+cu128
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- Datasets: 3.6.0
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- Tokenizers: 0.21.1
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## Citations
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Cite GRPO as:
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```bibtex
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@article{zhihong2024deepseekmath,
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title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
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year = 2024,
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eprint = {arXiv:2402.03300},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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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": "The-matt/llama2_ko-7b_distinctive-snowflake-182_1060",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 512,
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"lora_bias": false,
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"lora_dropout": 0.07130729567880593,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 704,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"q_proj",
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"o_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b898086e56fc6795348431af2ce1d5d31b45f85bf5b7f13dbaf8d16441fe2c10
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size 2952825624
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>",
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"<|sep|>",
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"<|endoftext|>",
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"<|acc|>",
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"<|rrn|>",
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"<|tel|>"
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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": "</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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"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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The diff for this file is too large to render.
See raw diff
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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": true,
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"add_prefix_space": null,
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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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"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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"46331": {
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"content": "<|sep|>",
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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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"46332": {
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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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"46333": {
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"content": "<|acc|>",
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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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"46334": {
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"content": "<|rrn|>",
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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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"46335": {
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"content": "<|tel|>",
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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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"<unk>",
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"<s>",
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"</s>",
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"<|sep|>",
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"<|endoftext|>",
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"<|acc|>",
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"<|rrn|>",
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"<|tel|>"
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],
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| 81 |
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"bos_token": "<s>",
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| 82 |
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"clean_up_tokenization_spaces": false,
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| 83 |
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"eos_token": "</s>",
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| 84 |
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"extra_special_tokens": {},
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| 85 |
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"legacy": false,
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| 86 |
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"model_max_length": 1000000000000000019884624838656,
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| 87 |
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"pad_token": "</s>",
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| 88 |
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"padding_side": "left",
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| 89 |
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"sp_model_kwargs": {},
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| 90 |
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"tokenizer_class": "LlamaTokenizerFast",
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| 91 |
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"truncation_side": "right",
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| 92 |
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"unk_token": "<unk>",
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| 93 |
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"use_default_system_prompt": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1aeb6d4a7da17a9d46e7c5f196cf347a09c91ef97bd93434af2eb4053160b189
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size 6865
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