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---
base_model: Ba2han/model-layered-1
library_name: transformers
model_name: model-phase2-4096
tags:
- generated_from_trainer
- unsloth
- trl
- sft
licence: license
---
# Model Card for model-phase2-4096
This model is a fine-tuned version of [Ba2han/model-layered-1](https://huggingface.co/Ba2han/model-layered-1).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
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?"
generator = pipeline("text-generation", model="Ba2han/model-phase2-4096", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```
## Training procedure
[<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/batuhan409/huggingface/runs/twlb3ka7)
This model was trained with SFT.
### Framework versions
- TRL: 0.24.0
- Transformers: 4.57.2
- Pytorch: 2.9.1
- Datasets: 4.3.0
- Tokenizers: 0.22.1
## Citations
Cite TRL as:
```bibtex
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
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},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
```

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tokenizer_config.json Normal file
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{
"added_tokens_decoder": {
"0": {
"content": "[UNK]",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
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"special": true
},
"2": {
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"special": true
},
"3": {
"content": "[PAD]",
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"special": true
},
"65491": {
"content": "<|im_start|>",
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"special": true
},
"65492": {
"content": "<|im_end>",
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"special": true
},
"65493": {
"content": "<think>",
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"special": true
},
"65494": {
"content": "</think>",
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},
"65495": {
"content": "source_1",
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"special": true
},
"65496": {
"content": "source_2",
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"special": true
},
"65497": {
"content": "source_3",
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"special": true
},
"65498": {
"content": "source_4",
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},
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},
"65500": {
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},
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},
"65502": {
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"special": true
},
"65503": {
"content": "source_9",
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"special": true
},
"65504": {
"content": "source_10",
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"special": true
},
"65505": {
"content": "<ref",
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"special": true
},
"65506": {
"content": "</ref>",
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"special": true
},
"65507": {
"content": "→",
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"special": true
},
"65508": {
"content": "↺",
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"special": true
},
"65509": {
"content": "※",
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"special": true
},
"65510": {
"content": "?maybe?",
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"special": true
},
"65511": {
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},
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"special": true
},
"65513": {
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},
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},
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},
"65516": {
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},
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},
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},
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},
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},
"65521": {
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},
"65522": {
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},
"65523": {
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},
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},
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},
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},
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},
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},
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},
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},
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},
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"special": true
}
},
"additional_special_tokens": [
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"<|im_end>",
"<think>",
"</think>",
"source_1",
"source_2",
"source_3",
"source_4",
"source_5",
"source_6",
"source_7",
"source_8",
"source_9",
"source_10",
"<ref",
"</ref>",
"→",
"↺",
"※",
"?maybe?",
"●",
"◐",
"○",
"⚠",
"☐",
"☑",
"✓",
"⟨H≈0.1⟩",
"⟨H≈0.2⟩",
"⟨H≈0.3⟩",
"⟨H≈0.4⟩",
"⟨H≈0.5⟩",
"⟨H≈0.6⟩",
"⟨H≈0.7⟩",
"⟨H≈0.8⟩",
"⟨H≈0.9⟩",
"⟨H≈1.0⟩",
"⟨H≈1.1⟩",
"⟨H≈1.2⟩",
"⟨H≈1.3⟩",
"⟨H≈1.4⟩",
"⟨H≈1.5⟩",
"⟨H≈1.6⟩",
"⟨H≈1.7⟩",
"⟨H≈1.8⟩"
],
"bos_token": "<|begin_of_text|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|end_of_text|>",
"extra_special_tokens": {},
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<|end_of_text|>",
"padding_side": "right",
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "[UNK]"
}

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training_args.bin Normal file
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