Model Overview

Description:

Model Developer: Mistralai

Mistral-7B-Instruct-v0.3 INT4 ONNX

The Mistral-7B-Instruct-v0.3 INT4 ONNX model is the quantized version of the Mistral-7B-Instruct-v0.3 model, which is an instruct fine-tuned version of the Mistral-7B-v0.3 model used for text generation and question answering. Quantization is done with TensorRT Model Optimizer-Windows.

This model is ready for commercial use.

Steps followed to generate this quantized model:

\n
Download Mistral-7B-Instruct-v0.3 model in Pytorch bfloat16 format from HuggingFace.
\n
\n
Convert PyTorch model to ONNX FP16 using onnxruntime-genai model builder.
\n
\n
Quantize Mistral-7B-Instruct-v0.3 ONNX FP16 model to Mistral-7B-Instruct-v0.3 ONNX INT4 AWQ model using TensorRT Model Optimizer – Windows.
\n

Third-Party Community Consideration:

This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to non-NVIDIA Mistral-7B-Instruct-v0.3 Model card.

License/Terms of Use:

Governing Terms: Use of this model is governed by the NVIDIA Open Model License Agreement.\nAdditional Information: Apache License, Version 2.0.

Model Architecture:

The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.

Architecture Type: Transformer

Network Architecture: Mistral-7B

Input:

Input Type: Text

Input Format: String

Input Parameters: Sequence (1D)

Other Properties Related to Input: Supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai

Output:

Output Type(s): Text

Output Format: String

Output Parameters: Sequence (1D)

Software Integration:

Supported Hardware Microarchitecture Compatibility: NVIDIA Ampere and newer GPUs. 6GB or higher Video Random Access Memory (VRAM) GPUs are recommended. Higher VRAM may be required for larger context length use cases.

Supported Operating System: Windows

Model Version: v1.0

Training, Testing, and Evaluation Datasets:

Refer to Link for the details.

Training Dataset: cnn_dailymail used for calibration.

\n
Link: cnn_dailymail
\n
\n
Data Collection Method by dataset: [Automated]
\n
\n
Labeling Method by dataset: [Unknown]
\n

Evaluation Dataset: MMLU

\n
Link:MMLU.
\n
\n
Data Collection Method by dataset: [Unknown]
\n
\n
Labeling Method by dataset: [Not Applicable]
\n

Evaluation Results:

Accuracy Scores: MMLU (5 shots):

With GenAI ORT->DML backend, on a desktop RTX 4090 GPU system.

“Overall accuracy” = 60.73

Test configuration:

\n
GPU: RTX 4090, RTX3090.
\n
\n
Windows 11: 23H2
\n
\n
NVIDIA Graphics driver: R565 or higher
\n

Inference:

Inference Backend: Onnxruntime-GenAI-DirectML

(Note: Please refer to Readme.txt for the detailed instructions.)

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Please report security vulnerabilities or NVIDIA AI Concerns here.

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Quantization is done with TensorRT Model Optimizer-Windows.\n\nThis model is ready for commercial use.\n\nSteps followed to generate this quantized model:\n\n* Download Mistral-7B-Instruct-v0.3 model in Pytorch bfloat16 format from HuggingFace.\n\n* Convert PyTorch model to ONNX FP16 using onnxruntime-genai model builder.\n\n* Quantize Mistral-7B-Instruct-v0.3 ONNX FP16 model to Mistral-7B-Instruct-v0.3 ONNX INT4 AWQ model using TensorRT Model Optimizer – Windows.\n\n### Third-Party Community Consideration:\n\nThis model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to non-NVIDIA [Mistral-7B-Instruct-v0.3 Model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3).\n\n#### License/Terms of Use:\n\nGoverning Terms: Use of this model is governed by the [NVIDIA Open Model License Agreement](https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf). \nAdditional Information: [Apache License, Version 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md).\n\n### Model Architecture: \n\nThe Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3. \n\n**Architecture Type:** Transformer \n\n**Network Architecture:** Mistral-7B \n\n### Input:\n\nInput Type: Text \n\nInput Format: String \n\nInput Parameters: Sequence (1D) \n\nOther Properties Related to Input: Supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai\n\n### Output:\n\nOutput Type(s): Text \n\nOutput Format: String \n\nOutput Parameters: Sequence (1D) \n\n### Software Integration:\n\nSupported Hardware Microarchitecture Compatibility: NVIDIA Ampere and newer GPUs. 6GB or higher Video Random Access Memory (VRAM) GPUs are recommended. Higher VRAM may be required for larger context length use cases.\n\nSupported Operating System: Windows\n\nModel Version: v1.0\n\n### Training, Testing, and Evaluation Datasets:\n\nRefer to [Link](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) for the details.\n\n### Training Dataset: [cnn_dailymail](https://huggingface.co/datasets/abisee/cnn_dailymail) used for calibration.\n\n* Link: [cnn_dailymail](https://huggingface.co/datasets/abisee/cnn_dailymail)\n\n* Data Collection Method by dataset: [Automated]\n\n* Labeling Method by dataset: [Unknown]\n\n### Evaluation Dataset: MMLU\n\n* Link:[MMLU](https://people.eecs.berkeley.edu/~hendrycks/data.tar).\n \n* Data Collection Method by dataset: [Unknown]\n\n* Labeling Method by dataset: [Not Applicable]\n\n### Evaluation Results:\n\n**Accuracy Scores:** MMLU (5 shots):\n\nWith GenAI ORT->DML backend, on a desktop RTX 4090 GPU system.\n\n“Overall accuracy” = 60.73\n\n**Test configuration:**\n\n* ***GPU:*** RTX 4090, RTX3090.\n\n* ***Windows 11:*** 23H2\n\n* ***NVIDIA Graphics driver:*** R565 or higher\n\n### Inference:\n\nInference Backend: [Onnxruntime-GenAI-DirectML](https://onnxruntime.ai/docs/genai/howto/install.html#directml)\n\n(Note: Please refer to Readme.txt for the detailed instructions.)\n\n### Ethical Considerations:\n\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.\n\nPlease report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).","displayName","Mistral-7b-Instruct-v0.3-ONNX-INT4-RTX",["D",1741240262064],"publisher","Mistral AI","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/-/models/mistral-7b-instruct-v0.3-onnx-int4-rtx","rawImageUrl","https://catalog.ngc.nvidia.com/demos/mistral.jpg","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[246],"displayLabels",[233,234],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_201":242,"_236":243,"_237":244,"_239":240},{"_201":235,"_236":235,"_237":238,"_239":240},"NSPECT-MHLB-PTDV","value","filter",{"_241":240,"_236":235},"category","label","field","AI","soln_ai",{"_241":245,"_236":243},"technology",{"_201":247,"_236":248,"_237":249,"_239":250},"Runs on RTX","pltfm_runs_on_rtx",{"_241":251,"_236":248},"feature","platform",{"_119":1427,"_121":1428},"ngcApps",[1380],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1362":1363,"_1364":1365,"_1366":1367,"_1368":1369,"_1370":263,"_146":287,"_1371":1372,"_1360":59,"_1373":98,"_1374":98,"_1375":1376,"_1377":98,"_1378":1379},"amplitude",{"_1358":1359,"_1360":59,"_960":-7,"_1361":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBZmFsc2UlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1352":1353,"_1354":1355,"_1356":1357},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.4.0","defaultSearchSuggestions",{"_1235":218,"_1236":1237,"_1238":1239,"_1240":1241},"announcements",[],"consentState",{"_326":1225,"_1226":34,"_1227":34,"_1228":98,"_1229":1230},"consentConfig",{"_308":309,"_310":311,"_312":313,"_314":315,"_316":317,"_318":319,"_320":321,"_322":323,"_324":325,"_326":327},"showContactAdmin",1782997627871,[],[],[301,302,303,304,305,306],{"_48":62,"_50":73,"_52":114,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":69,"_52":114,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":67,"_52":114,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":63,"_52":114,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":53,"_54":55,"_56":307,"_58":59},{"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59},5,"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.","ttcsid","This cookie name is associated with TikTok which is used to enable TikTok Ads session tracking by assigning a unique session ID to users who click on TikTok ads, allowing for the attribution of user behavior and conversions within the same session.This cookie is associated with TikTok. It helps track your activity on the platform, including how you interact with their embedded services on other websites.","AMP_MKTG_91bf70adfe","C0003","Personalization Cookies","These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.",4,[599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619],[564,565,566,567,568],{"_366":458,"_201":458,"_172":218,"_340":590},{"_366":424,"_201":424,"_172":218,"_340":585},{"_366":578,"_201":578,"_172":218,"_340":579},{"_366":574,"_201":574,"_172":218,"_340":575},{"_366":569,"_201":569,"_172":218,"_340":570},"nvcrm.my.site.com",[571],{"_77":572,"_372":569,"_373":34,"_172":573},"BrowserId","If you know anything about this cookie and its uses that are not specific to a particular site please add your contributions.","nvidia.partners",[576],{"_77":577,"_372":574,"_373":34,"_172":407},"edge","github.com",[580,581],{"_77":584,"_372":578,"_373":34,"_172":583},{"_77":582,"_372":578,"_373":34,"_172":583},"logged_in","This domain is owned by Github. 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by Google Analytics to identify and track an individual session with your device.","__sec__token","__sec__cid","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","_gd_visitor","_biz_dfsA","This cookie is associated with CloudFlare, used to speed up page load times. It is not used to track users but rather to limit the number of requests that have to be made to doubleclick.net.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","Datadog Cookie used to group all events generated from a unique user session across multiple pages. It contains the current session ID, whether the session is excluded due to sampling, and the expiration date of the session. The cookie is extended for an extra 15 minutes every time the user interacts with the website, up to the maximum user session duration (4 hours).","__sec_tid","__sec__fid","crowdsource.nvidia.com","This cookie name is associated with 6sense which is used to collect visitor data related to the user’s visit to the website, such as number of visits, average time spent on the website and which pages have been loaded, for the purpose of serving targeted advertisements.This cookie contains no identifying information and is used for diagnostic purposes by Impact Radius, a service we use to track signup commissions for our affiliate program. We have categorized it under Functionality because it is necessary for the operation of our affiliate program.","__sec__ghost","_gd_svisitor","info.nvidia.com","nvweb_A","_ga","This cookie name is associated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.","research.nvidia.com","_uetvid","This is a cookie utilised by Microsoft Bing Ads and is a tracking cookie. It allows us to engage with a user that has previously visited our website.","s_pltp","This cookie is typically associated with Adobe Analytics (formerly SiteCatalyst). It is used to identify the previous link clicked within the site, which helps in analyzing site usage patterns.","s_ecid","Adobe Analytics cookie containing the the Adobe Experience Cloud 1st party visitor id if the Analytics AMCV visitor id is not found.","This cookie name is used as a long-lived unique identifier of the visitor on the website. It is either correlated to the 6suuid or a unique value, and can be changed during the lifetime of this cookie.This cookie contains no identifying information and is used for diagnostic purposes by Impact Radius, a service we use to track signup commissions for our affiliate program. We have categorized it under Functionality because it is necessary for the operation of our affiliate program.","s_ips","This cookie is associated with Adobe Analytics. The cookie is used for measuring a visitor’s scroll activity to see how much of a page they view before moving on to another page.","_gd_session","tp","This cookie is associated with Adobe Analytics site tracking. It registers if the website's scroll-depth detection is active. This function remembers how far the user has scrolled on the current session across the website's sub-pages.","dmn_chk_-xxxxxxxxxxxx","com","Posthog Analytics","_hly_vid","This cookie _hly_vid is used to record website and server performance with each visit to the site. The data is aggregated and analyzed; therefore, it remains anonymous upon use.","_cs_id","blogs.nvidia.com","_session_id","resources.nvidia.com","This cookie creates an interim session ID used as an in-session user ID.\n","s_cc","This cookie is associated with the Adobe Site Catalyst. It determines whether cookies are enabled in the web browser.","_hjSessionUser_xxxxxx","Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.","_hjHasCachedUserAttributes","This cookie name is associated with Hotjar which is used to know whether the data set in _hjUserAttributes Local Storage item is up to date or not.","s_ppv","This cookie is associated with Adobe Analytics site tracking and is used to measure a user's scroll activity to see how much of a page they view before moving to another page.","nv.referrerHref","This domain is owned by NVIDIA Corporation which provides information about the company, its products, solutions, industries, news, events, and career opportunities.","_gid","This cookie name is associated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited.","__sec_crid","_hjTLDTest","When the Hotjar script executes we try to determine the most generic cookie path we should use, instead of the page hostname. This is done so that cookies can be shared across subdomains (where applicable). To determine this, we try to store the _hjTLDTest cookie for different URL substring alternatives until it fails. After this check, the cookie is removed.","s_tp","s_plt","This cookie is used to measure the time taken for pages to load, allowing website owners to identify slow loading pages and improve user experience.","This _gd_session cookie is used to collect visitor data related to the user's visit to the website, such as number of visits, average time spent on the website and which pages have been loaded, for the purpose of serving targeted advertisements.This cookie contains no identifying information and is used for diagnostic purposes by Impact Radius, a service we use to track signup commissions for our affiliate program. 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