初始化项目，由ModelHub XC社区提供模型
Model: IAAR-Shanghai/xVerify-7B-I Source: Original Platform
This commit is contained in:
ModelHub XC
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README.md
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---
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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language:
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- en
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- zh
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license: cc-by-nc-nd-4.0
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tags:
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- instruction-finetuning
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library_name: transformers
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pipeline_tag: text-generation
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inference: false
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---
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<h1 align="center">
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🔍 xVerify-7B-I
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</h1>
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<p align="center">
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<div style="display: flex; justify-content: center; gap: 10px;">
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<a href="https://github.com/IAAR-Shanghai/xVerify">
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<img src="https://img.shields.io/badge/GitHub-Repository-blue?logo=github" alt="GitHub"/>
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</a>
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<a href="https://huggingface.co/IAAR-Shanghai/xVerify-7B-I">
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<img src="https://img.shields.io/badge/🤗%20Hugging%20Face-xVerify--7B--I-yellow" alt="Hugging Face"/>
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</a>
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</div>
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</p>
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xVerify is an evaluation tool fine-tuned from a pre-trained large language model, designed specifically for objective questions with a single correct answer. It is presented in the paper [xVerify: Efficient Answer Verifier for Reasoning Model Evaluations](https://huggingface.co/papers/2504.10481).
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It accurately extracts the final answer from lengthy reasoning processes and efficiently identifies equivalence across different forms of expressions.
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---
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## ✨ Key Features
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### 📊 Broad Applicability
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Suitable for various objective question evaluation scenarios including math problems, multiple-choice questions, classification tasks, and short-answer questions.
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### ⛓️ Handles Long Reasoning Chains
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Effectively processes answers with extensive reasoning steps to extract the final answer, regardless of complexity.
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### 🌐 Multilingual Support
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Primarily handles Chinese and English responses while remaining compatible with other languages.
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### 🔄 Powerful Equivalence Judgment
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- ✓ Recognizes basic transformations like letter case changes and Greek letter conversions
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- ✓ Identifies equivalent mathematical expressions across formats (LaTeX, fractions, scientific notation)
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- ✓ Determines semantic equivalence in natural language answers
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- ✓ Matches multiple-choice responses by content rather than just option identifiers
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---
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## 🚀 Sample Usage
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This snippet demonstrates single-sample evaluation using the `Evaluator` logic provided in the [official repository](https://github.com/IAAR-Shanghai/xVerify).
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```python
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from src.xVerify.model import Model
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from src.xVerify.eval import Evaluator
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# initialization
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model_name = 'xVerify-7B-I'
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model_path = 'IAAR-Shanghai/xVerify-7B-I'
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inference_mode = 'local'
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model = Model(
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model_name=model_name,
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model_path_or_url=model_path,
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inference_mode=inference_mode,
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)
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evaluator = Evaluator(model=model)
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# input evaluation information
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question = "New steel giant includes Lackawanna site A major change is coming to the global steel industry and a galvanized mill in Lackawanna that formerly belonged to Bethlehem Steel Corp.
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Classify the topic of the above sentence as World, Sports, Business, or Sci/Tech."
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llm_output = "The answer is Business."
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correct_answer = "Business"
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# evaluation
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result = evaluator.single_evaluate(
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question=question,
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llm_output=llm_output,
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correct_answer=correct_answer
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)
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print(result)
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```
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---
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## 📚 Citation
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```bibtex
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@article{xVerify,
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title={xVerify: Efficient Answer Verifier for Reasoning Model Evaluations},
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author={Ding Chen and Qingchen Yu and Pengyuan Wang and Wentao Zhang and Bo Tang and Feiyu Xiong and Xinchi Li and Minchuan Yang and Zhiyu Li},
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journal={arXiv preprint arXiv:2504.10481},
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year={2025},
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}
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```
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config.json
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||||
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|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
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|
||||
"<|box_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
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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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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
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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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|
||||
],
|
||||
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|
||||
"chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
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|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user