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CODE_OF_CONDUCT.md

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+# Microsoft Open Source Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+
+Resources:
+
+- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
+- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+- Contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with questions or concerns

LICENSE

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+MICROSOFT RESEARCH LICENSE TERMS
+
+IF YOU LIVE IN THE UNITED STATES, PLEASE READ THE “BINDING ARBITRATION AND CLASS ACTION WAIVER” SECTION BELOW. IT AFFECTS HOW DISPUTES ARE RESOLVED.
+
+These license terms are an agreement between you and Microsoft Corporation (or one of its affiliates). They apply to the source code, object code, machine learning models, or data (collectively “Materials”) that accompany this license. IF YOU COMPLY WITH THESE LICENSE TERMS, YOU HAVE THE RIGHTS BELOW. BY USING THE MATERIALS, YOU ACCEPT THESE TERMS.
+
+1) INSTALLATION AND USE RIGHTS TO THE MATERIALS.
+
+Subject to the terms of this agreement, you have the below rights, if applicable, to use the Materials solely for non-commercial, non-revenue generating, research purposes:
+
+a) Source Code. If source code is included, you may use and modify the source code, but you may not distribute the source code.
+
+b) Object Code. If object code is included, you may use the object code, but you may not distribute the object code.
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+c) Models. If machine learning model(s) are included, you may use the model(s), but you may not distribute the models.
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+d) Data. If data is included, you may use and modify the data, but your use and modification must be consistent with the consent under which the data was provided and/or gathered and you may not distribute the data or your modifications to the data.
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+2) SCOPE OF LICENSE. The Materials are licensed, not sold. Microsoft reserves all other rights. Unless applicable law gives you more rights despite this limitation, you will not (and have no right to):
+
+a) work around any technical limitations in the Materials that only allow you to use it in certain ways;
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+b) reverse engineer, decompile or disassemble the Materials;
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+e) share, publish, distribute or lend the Materials, provide the Materials as a stand-alone hosted solution for others to use, or transfer the Materials or this agreement to any third party.
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+3) PERSONAL DATA. If the data (set forth in Section 1(c) above) includes or is found to include any data that enables any ability to identify an individual (“Personal Data”), you will not use such Personal Data for any purpose other than was authorized and consented to by the data subject/research participant. You will not use Personal Data to contact any person. You will keep Personal Data in strict confidence. You will not share any Personal Data that is collected or in your possession with any third party for any reason and as required under the original consent agreement. Further, you will destroy the Personal Data and any backup or copies, immediately upon the completion of your research.
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+feedback is designated by you as confidential. Such feedback shall be considered a contribution and licensed to Microsoft under the terms of Section 4 above.
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+9) BINDING ARBITRATION AND CLASS ACTION WAIVER. This Section applies if you live in (or, if a business, your principal place of business is in) the United States. If you and Microsoft have a dispute, you and Microsoft agree to try for 60 days to resolve it informally. If you and Microsoft can’t, you and Microsoft agree to binding individual arbitration before the American Arbitration Association under the Federal Arbitration Act (“FAA”), and not to sue in court in front of a judge or jury. Instead, a neutral arbitrator will decide. Class action lawsuits, class-wide arbitrations, private attorney-general actions, and any other proceeding where someone acts in a representative capacity are not allowed; nor is combining individual proceedings without the consent of all parties. The complete Arbitration Agreement contains more terms and is at aka.ms/arb-agreement-1. You and Microsoft agree to these terms.
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+10) ENTIRE AGREEMENT. This agreement, and any other terms Microsoft may provide for supplements, updates, or third-party applications, is the entire agreement for the Materials.
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+11) APPLICABLE LAW AND PLACE TO RESOLVE DISPUTES. If you acquired the Materials in the United States or Canada, the laws of the state or province where you live (or, if a business, where your principal place of business is located) govern the interpretation of this agreement, claims for its breach, and all other claims (including consumer protection, unfair competition, and tort claims), regardless of conflict of laws principles, except that the FAA governs everything related to arbitration. If you acquired the Materials in any other country, its laws apply, except that the FAA governs everything related to arbitration. If U.S. federal jurisdiction exists, you and Microsoft consent to exclusive jurisdiction and venue in the federal court in King County, Washington for all disputes heard in court (excluding arbitration). If not, you and Microsoft consent to exclusive jurisdiction and venue in the Superior Court of King County, Washington for all disputes heard in court (excluding arbitration).
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+12) CONSUMER RIGHTS; REGIONAL VARIATIONS. This agreement describes certain legal rights. You may have other rights, including consumer rights, under the laws of your state, province, or country. Separate and apart from your relationship with Microsoft, you may also have rights with respect to the party from which you acquired the Materials. This agreement does not change those other rights if the laws of your state, province, or country do not permit it to do so. For example, if you acquired the Materials in one of the below regions, or mandatory country law applies, then the following provisions apply to you:
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+a) Australia. You have statutory guarantees under the Australian Consumer Law and nothing in this agreement is intended to affect those rights.
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+b) Canada. If you acquired this software in Canada, you may stop receiving updates by turning off the automatic update feature, disconnecting your device from the Internet (if and when you re-connect to the Internet, however, the Materials will resume checking for and installing updates), or uninstalling the Materials. The product documentation, if any, may also specify how to turn off updates for your specific device or software.
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+c) Germany and Austria.
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+i. Warranty. The properly licensed software will perform substantially as described in any Microsoft materials that accompany the Materials. However, Microsoft gives no contractual guarantee in relation to the licensed software.
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+Subject to the foregoing clause (ii), Microsoft will only be liable for slight negligence if Microsoft is in breach of such material contractual obligations, the fulfillment of which facilitate the due performance of this agreement, the breach of which would endanger the purpose of this agreement and the compliance with which a party may constantly trust in (so-called "cardinal obligations"). In other cases of slight negligence, Microsoft will not be liable for slight negligence.
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+13) DISCLAIMER OF WARRANTY. THE MATERIALS ARE LICENSED “AS IS.” YOU BEAR THE RISK OF USING THEM. MICROSOFT GIVES NO EXPRESS WARRANTIES, GUARANTEES, OR CONDITIONS. TO THE EXTENT PERMITTED UNDER APPLICABLE LAWS, MICROSOFT EXCLUDES ALL IMPLIED WARRANTIES, INCLUDING MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT.
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+14) LIMITATION ON AND EXCLUSION OF DAMAGES. IF YOU HAVE ANY BASIS FOR RECOVERING DAMAGES DESPITE THE PRECEDING DISCLAIMER OF WARRANTY, YOU CAN RECOVER FROM MICROSOFT AND ITS SUPPLIERS ONLY DIRECT DAMAGES UP TO U.S. $5.00. YOU CANNOT RECOVER ANY OTHER DAMAGES, INCLUDING CONSEQUENTIAL, LOST PROFITS, SPECIAL, INDIRECT OR INCIDENTAL DAMAGES.
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+This limitation applies to (a) anything related to the Materials, services, content (including code) on third party Internet sites, or third party applications; and (b) claims for breach of contract, warranty, guarantee, or condition; strict liability, negligence, or other tort; or any other claim; in each case to the extent permitted by applicable law.
+
+It also applies even if Microsoft knew or should have known about the possibility of the damages. The above limitation or exclusion may not apply to you because your state, province, or country may not allow the exclusion or limitation of incidental, consequential, or other damages.

README.md

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+---
+license: other
+license_name: microsoft-research-license
+license_link: https://huggingface.co/microsoft/phi-1_5/resolve/main/Research%20License.docx
+language:
+- en
+pipeline_tag: text-generation
+---
+
+## Model Summary
+
+Phi-2 is a Transformer with **2.7 billion** parameters. It was trained using the same data sources as [phi-1.5](https://huggingface.co/microsoft/phi-1.5), augmented with a new data source that consists of various NLP synthetic texts and filtered websites (for safety and educational value). When assessed against benchmarks testing common sense, language understanding, and logical reasoning, phi-2 showcased a nearly state-of-the-art performance among models with less than 13 billion parameters.
+
+Our model hasn't been fine-tuned through reinforcement learning from human feedback. The intention behind crafting this open-source model is to provide the research community with a non-restricted small model to explore vital safety challenges, such as reducing toxicity, understanding societal biases, enhancing controllability, and more.
+
+
+## Intended Uses
+
+Phi-2 is intended for research purposes only. Given the nature of the training data, the phi-2 model is best suited for prompts using the QA format, the chat format, and the code format.
+
+#### QA format:
+
+You can provide the prompt as a standalone question as follows:
+
+```markdown
+Write a detailed analogy between mathematics and a lighthouse.
+```
+where the model generates the text after "." . 
+To encourage the model to write more concise answers, you can also try the following QA format using "Instruct: \<prompt\>\nOutput:"
+```markdown
+Instruct: Write a detailed analogy between mathematics and a lighthouse.
+Output: Mathematics is like a lighthouse. Just as a lighthouse guides ships safely to shore, mathematics provides a guiding light in the world of numbers and logic. It helps us navigate through complex problems and find solutions. Just as a lighthouse emits a steady beam of light, mathematics provides a consistent framework for reasoning and problem-solving. It illuminates the path to understanding and helps us make sense of the world around us.
+```
+where the model generates the text after "Output:".
+
+#### Chat format:
+```markdown
+Alice: I don't know why, I'm struggling to maintain focus while studying. Any suggestions?
+Bob: Well, have you tried creating a study schedule and sticking to it?
+Alice: Yes, I have, but it doesn't seem to help much.
+Bob: Hmm, maybe you should try studying in a quiet environment, like the library.
+Alice: ...
+```
+
+where the model generates the text after the first "Bob:".
+
+#### Code format:
+```python
+def print_prime(n):
+   """
+   Print all primes between 1 and n
+   """
+   primes = []
+   for num in range(2, n+1):
+       is_prime = True
+       for i in range(2, int(math.sqrt(num))+1):
+           if num % i == 0:
+               is_prime = False
+               break
+       if is_prime:
+           primes.append(num)
+   print(primes)
+```
+where the model generates the text after the comments.
+
+  
+**Out of scope**
+
+* The phi-2 model is intended for research purposes. The model-generated text/code should be treated as a starting point rather than a definitive solution for potential use cases. Users should be cautious when employing these models in their applications.
+
+* Direct adoption for production tasks is out of the scope of this research project. As a result, the phi-2 model has not been tested to ensure that it performs adequately for any production-level application. Please refer to the limitation sections of this document for more details.
+
+
+## Limitations of phi-2
+
+  
+
+* Generate Inaccurate Code and Facts: The model may produce incorrect code snippets and statements. Users should treat these outputs as suggestions or starting points, not as definitive or accurate solutions.
+
+* Limited Scope for code: Majority of phi-2 training data is based in Python and use common packages such as "typing, math, random, collections, datetime, itertools". If the model generates Python scripts that utilize other packages or scripts in other languages, we strongly recommend users manually verify all API uses.
+
+* Unreliable Responses to Instruction: The model has not undergone instruction fine-tuning. As a result, it may struggle or fail to adhere to intricate or nuanced instructions provided by users.
+
+* Language Limitations: The model is primarily designed to understand standard English. Informal English, slang, or any other languages might pose challenges to its comprehension, leading to potential misinterpretations or errors in response.
+
+* Potential Societal Biases: phi-2 is not entirely free from societal biases despite efforts in assuring trainig data safety. There's a possibility it may generate content that mirrors these societal biases, particularly if prompted or instructed to do so. We urge users to be aware of this and to exercise caution and critical thinking when interpreting model outputs.
+
+* Toxicity: Despite being trained with carefully selected data, the model can still produce harmful content if explicitly prompted or instructed to do so. We chose to release the model for research purposes only -- We hope to help the open-source community develop the most effective ways to reduce the toxicity of a model directly after pretraining.
+
+* Verbosity: Phi-2 being a base model often produces irrelevant or extra text and responses following its first answer to user prompts within a single turn. This is due to its training dataset being primarily textbooks, which results in textbook-like responses.
+
+  
+
+## Training
+
+### Model
+
+* Architecture: a Transformer-based model with next-word prediction objective
+
+* Context length: 2048 tokens
+
+* Dataset size: 250B tokens, combination of NLP synthetic data created by AOAI GPT-3.5 and filtered web data from Falcon RefinedWeb and SlimPajama, which was assessed by AOAI GPT-4.
+
+* Training tokens: 1.4T tokens
+
+* GPUs: 96xA100-80G
+
+* Training time: 14 days
+
+  
+
+### Software
+
+* [PyTorch](https://github.com/pytorch/pytorch)
+
+* [DeepSpeed](https://github.com/microsoft/DeepSpeed)
+
+* [flash-attention](https://github.com/HazyResearch/flash-attention) > 2.0.0
+
+### License
+
+The model is licensed under the [microsoft-research-license](https://huggingface.co/microsoft/phi-1_5/resolve/main/Research%20License.docx).
+
+## Trademarks
+
+This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow [Microsoft’s Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.

SECURITY.md

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+<!-- BEGIN MICROSOFT SECURITY.MD V0.0.9 BLOCK -->
+
+## Security
+
+Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet) and [Xamarin](https://github.com/xamarin).
+
+If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/security.md/definition), please report it to us as described below.
+
+## Reporting Security Issues
+
+**Please do not report security vulnerabilities through public GitHub issues.**
+
+Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/security.md/msrc/create-report).
+
+If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com).  If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/security.md/msrc/pgp).
+
+You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc). 
+
+Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
+
+  * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
+  * Full paths of source file(s) related to the manifestation of the issue
+  * The location of the affected source code (tag/branch/commit or direct URL)
+  * Any special configuration required to reproduce the issue
+  * Step-by-step instructions to reproduce the issue
+  * Proof-of-concept or exploit code (if possible)
+  * Impact of the issue, including how an attacker might exploit the issue
+
+This information will help us triage your report more quickly.
+
+If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/security.md/msrc/bounty) page for more details about our active programs.
+
+## Preferred Languages
+
+We prefer all communications to be in English.
+
+## Policy
+
+Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/security.md/cvd).
+
+<!-- END MICROSOFT SECURITY.MD BLOCK -->