├── images
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├── logo.png
├── demo-2.png
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├── southeast.jpg
├── university-logo.png
└── Hugging-Face-Emoji.png
├── ELCVIA_Template.pdf
├── inference
├── Inference.md
└── inference.py
├── DISCLAIMER.txt
├── README.md
└── LICENSE
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/inference/Inference.md:
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1 | # Setup CHIPEXPERT
2 |
3 | ## Inference
4 | ~~~
5 | python inference.py
6 | ~~~
7 | The inference code is currently written in the TGI interface format. If there are other formats, modify them yourself.
8 | Please strictly follow our chat_template dialogue template for inference.
9 |
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/inference/inference.py:
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1 | import requests
2 | import json
3 |
4 | # 设置目标URL
5 | url = "http://xx.xx.xx.xx:24100/generate"
6 | input = 'We know that compute-in-memory can be divided into different categories according to the computing paradigm. What are the main types of compute-in-memory domains and what are their characteristics?'
7 |
8 |
9 |
10 | system_template = "Below is an instruction that describes a task, paired with an input that provides further " \
11 | "context. Write a response that appropriately completes the request. " \
12 | "Please note that you need to think through your response logically and step by step.\n\n"
13 | dialog_template = "### Instruction:\n{instruction}\n\n### Response:"
14 |
15 | template = system_template + dialog_template
16 |
17 | # 创建请求头
18 | headers = {
19 | "Accept": "application/json",
20 | "Content-type": "application/json"
21 | }
22 |
23 | template = template.format(instruction=input)
24 |
25 |
26 | # # 创建请求数据
27 | data = {
28 | "inputs": template,
29 | "parameters": {
30 | "details": False,
31 | "do_sample": True,
32 | "repetition_penalty": 1.1,
33 | "return_full_text": False,
34 | "seed": None,
35 | "temperature": 0.2,
36 | "top_n_tokens": 5,
37 | "top_p": 0.9,
38 | "max_new_tokens": 1000
39 | },
40 | }
41 |
42 | # 发送POST请求
43 | response = requests.post(url, headers=headers, data=json.dumps(data))
44 |
45 | # 检查响应状态码
46 | if response.status_code == 200:
47 | # 请求成功,打印响应内容
48 | print(response.json())
49 | else:
50 | # 请求失败,打印状态码和错误信息
51 | print(f"Request failed with status code {response.status_code}")
52 | print(response.text)
53 |
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/DISCLAIMER.txt:
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1 | The software project, data, and models provided by our GitHub project are provided "as is," without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and non-infringement.
2 |
3 | In no event shall the project owners or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software project, data, or models, even if advised of the possibility of such damage.
4 |
5 | Users of this software project, data, and models are solely responsible for any consequences of their use. The project owners and contributors shall not be held responsible for any subsequent or potential harm caused by the use of this software project, data, or models.
6 |
7 | By using this software project, data, or models, users accept and agree to this disclaimer. If users do not agree to the terms of this disclaimer, they should not use this software project, data, or models.
8 |
9 | It is important to note that this software project, data, and models are still in the research phase and are provided for experimental purposes only. As such, the project owners and contributors do not guarantee the accuracy, completeness, or usefulness of the software project, data, or models.
10 |
11 | Furthermore, due to the experimental nature of this software project, data, and models, it is possible that they may contain or generate inappropriate responses, errors, or inconsistencies. Users should exercise caution when using this software project, data, or models, and should not rely solely on them for any critical or sensitive tasks.
12 |
13 | The project owners and contributors shall not be held responsible for any damages, losses, or liabilities arising from the use of this software project, data, or models, including but not limited to, any inappropriate responses generated by the software project, data, or models.
14 |
15 | By using this software project, data, or models, users acknowledge and accept the experimental nature of the software project, data, and models, and understand the potential risks and limitations associated with their use. If users do not agree to the terms of this disclaimer, they should not use this software project, data, or models.
16 |
17 | The software project, data, and models provided by our GitHub project are intended for research purposes only. They should not be used for any commercial, business, or legal purposes, and should not be relied upon as a substitute for professional advice or judgment.
18 |
19 | Users of this software project, data, and models are strictly prohibited from using them for any commercial purposes, including but not limited to, selling, licensing, or distributing the software project, data, or models to third parties.
20 |
21 | The project owners and contributors shall not be held responsible for any damages, losses, or liabilities arising from the use of this software project, data, or models for any commercial or business purposes.
22 |
23 | By using this software project, data, or models, users agree to use them for research purposes only, and not for any commercial or business purposes. If users do not agree to the terms of this disclaimer, they should not use this software project, data, or models.
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/README.md:
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1 |
ChipExpert: The First Open-Source Integrated-Circuit-Design-Specific Large Language Model
2 |
3 | 🤗 Hugging Face
4 |
5 |
6 | ## Introduction:
7 | ChipExpert is the first open-source, instructional LLM dedicated to the Integrated-Circuit-Design industry, covering knowledge across multiple sub-domains, including analog circuits, digital circuits, radio frequency (RF), semiconductor devices, electronic design automation (EDA), system-on-chip (SoC), computing-in-memory, and more. This model aims to provide teaching assistant services for students in the field of IC to learn fundamental knowledge, engineers to inquire about technical details, and researchers to investigate cutting-edge papers and research topics. The ultimate goal of this model is to help the integrated circuit industry reduce the learning barrier and lower the training costs.
8 |
9 |
10 |
11 | ## Key Features:
12 | - The first Large Language Model (LLM) in the IC design field.
13 | - A professional corpus covering ten specialized areas of IC design.
14 | - Achieves superior performance in both foundational and cutting-edge knowledge compared to general LLMs.
15 |
16 | ## Contributions
17 | This project is the result of a collaborative effort:
18 |
19 | Ning Xu1,2 Zhaoyang Zhang1,2 Lei Qi1,2 Wensuo Wang1 Chao Zhang1 Zihao Ren2
20 | Huaiyuan Zhang2 Yanqi Zhang2 Zhichao Liu2 Xing Wang2 Qingwen Wei2 Shiyang Wu2
21 | Lanlan Yang2 Yuejian Shi2 Yuchen Ma2 Yutong Zhang2 Mengyao Kong2
22 | Zhican Zhang2 Shiyang Wu2 Yao Wang2 Lanlan Yang1 Chen Yang1
23 | Qianfeng Lu2 Yiqun Ma2 Zhengxuan Wang2 Yaoyao Xu2 Chengjie Liu1
24 | Mengyao Zhao2 Junbo Liu2 Yufan Song1 Xin Geng2 Jun Yang1,2
25 |
26 |
27 | 1National Center of Technology Innovation for EDA, Nanjing, China
28 | 2Southeast University, Nanjing, China
29 |
30 |
31 | ## Model Description
32 |
33 |
34 | - Developed by: NCTIEDA (National Center of Technology Innovation for EDA) and Southeast University
35 |
36 |

37 |

38 |
39 |
40 | - Model type: Instruction Model
41 | - Language(s): English
42 | - License: [Apache License 2.0](LICENSE)
43 | - Finetuned from model: Llama 3
44 |
45 | ## Getting Started
46 | To get started with ChipExpert, please refer to the [inference guide](inference/Inference.md).
47 |
48 | ## LICENSE
49 |
50 | This project can only be used for research purposes, and the project developer shall not bear any harm or loss caused by the use of this project (including but not limited to data, models, codes, etc.). Please refer to the [disclaimer](DISCLAIMER) for details.
51 |
52 | The license agreement for the project code is [Apache License 2.0](LICENSE), the code is free for commercial use, and the model weights and data can only be used for research purposes. Please attach ChipExpert's link and license agreement in the product description.
53 |
54 | ## Citation
55 | If you use ChipExpert in your research or development work, please cite our paper:
56 | ```bibtex
57 | @article{chipexpert2024,
58 | title={ChipExpert: The First Open-Source Integrated-Circuit-Design-Specific Large Language Model},
59 | author={Ning Xu, ZhaoyangZhang et al.},
60 | journal={arXiv preprint arXiv:2408.00804v1},
61 | year={2024}
62 | }
63 | ```
64 | [ChipExpert: The First Open-Source Integrated-Circuit-Design-Specific Large Language Model](https://docs.google.com/viewer?url=https://github.com/NCTIE/ChipExpert/raw/main/ELCVIA_Template.pdf)
65 |
66 | ## Contact
67 | Please contact the ChipExpert team at chipexpert@nctieda.com
68 |
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