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Model: xushuwen23/GraphWalker-7B Source: Original Platform
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README.md
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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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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- LLM Agent
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- Knowledge Graph
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- Question Answering
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- Reasoning
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---
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# GraphWalker-7B
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[**📄 Paper (arXiv:2603.28533)**](https://arxiv.org/abs/2603.28533) | [**💻 GitHub**](https://github.com/XuShuwenn/GraphWalker) | [**🤗 Model**](https://huggingface.co/xushuwen23/GraphWalker-7B)
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**GraphWalker-7B** is a specialized large language model fine-tuned from [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) for **Agentic Knowledge Graph Question Answering (KGQA)**. GraphWalker learns to navigate knowledge graphs via synthetic trajectory curriculum — achieving strong generalization with a single, compact 7B model.
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---
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## 🌟 Overview
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**GraphWalker** is an agentic framework for multi-turn Knowledge Graph Question Answering (KGQA) over **Global Knowledge Graphs** (e.g., Freebase). It transforms LLMs into reasoning agents that autonomously navigate massive KGs through a "Think-Query-Observe" loop, optimized via a synthetic curriculum.
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---
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## 🛠️ Usage
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### 1. Environment Setup
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```bash
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pip install vllm transformers
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```
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### 2. Download the Model
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```bash
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# Via huggingface-cli
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huggingface-cli download xushuwen23/GraphWalker-7B --local-dir ./GraphWalker-7B
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```
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### 3. Inference with vLLM (Recommended)
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**Start the vLLM server:**
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```bash
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vllm serve "xushuwen23/GraphWalker-7B" \
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--host 0.0.0.0 --port 22240 \
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--served-model-name graphwalker-7b \
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--gpu-memory-utilization 0.9 \
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--dtype auto \
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--chat-template "./GraphWalker-7B/chat_template.jinja"
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```
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For training and evaluation, see [**💻 GitHub**](https://github.com/XuShuwenn/GraphWalker) for details.
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---
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## 📈 Evaluation Results
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| Method | Backbone | CWQ EM | CWQ F1 | WebQSP EM | WebQSP F1 |
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|:---|:---|:---:|:---:|:---:|:---:|
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| **GraphWalker** | | | | | |
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| †Vanilla Agent | Qwen2.5-7B-Instruct | 40.7 | 33.2 | 68.4 | 66.1 |
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| †Vanilla Agent | GPT-4o-mini | 63.4 | 60.3 | 79.6 | 70.6 |
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| †Vanilla Agent | DeepSeek-V3.2 | 69.8 | 63.5 | 76.7 | 71.8 |
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| GraphWalker-7B-SFT | Qwen2.5-7B-Instruct | 68.3 | 63.2 | 82.0 | 79.1 |
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| GraphWalker-3B-SFT-RL | Qwen2.5-3B-Instruct | 70.9 | 65.2 | 83.5 | 81.7 |
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| GraphWalker-8B-SFT-RL | LLaMA3.1-8B-Instruct | <u>78.5</u> | 69.6 | <u>88.2</u> | <u>84.5</u> |
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| **GraphWalker-7B-SFT-RL** | **Qwen2.5-7B-Instruct** | **79.6** | **74.2** | **91.5** | **88.6** |
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---
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## 📝 Citation
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If you use GraphWalker-7B or find this work helpful, please cite:
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```bibtex
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@misc{xu2026graphwalkeragenticknowledgegraph,
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title={GraphWalker: Agentic Knowledge Graph Question Answering via Synthetic Trajectory Curriculum},
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author={Shuwen Xu and Yao Xu and Jiaxiang Liu and Chenhao Yuan and Wenshuo Peng and Jun Zhao and Kang Liu},
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year={2026},
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eprint={2603.28533},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2603.28533},
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}
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```
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---
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## 📄 License
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This model is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0), consistent with the base model [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
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added_tokens.json
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n" }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{{- '<|im_start|>assistant\n' }}
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config.json
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},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"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