Model Overview

Description:

The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets. Mistral-7B is released under the Apache 2.0 license

This instruction model is a transformer model with the following architecture choices:

Grouped-Query Attention
Sliding-Window Attention
Byte-fallback BPE tokenizer

Terms of use:

By accessing this model, you are agreeing to the Mistral 7B Terms and Conditions of the License, Terms of Service.

References(s):

Mistral 7B Instruct Model Card on Hugging Face
Mistral 7B paper
Mistral 7B blogpost

Model Architecture:

Architecture Type: Transformer

Network Architecture: Mistral-7B

Input:

Input Format: Text

Input Parameters: None

Output:

Output Format: Text

Output Parameters: None

Software Integration:

Supported Hardware Platform(s): RTX 4090, Ada GPUs

Supported Operating System(s): Windows

Inference:

TRT-LLM Inference Engine
\nWindows Setup with TRT-LLM

Test Hardware:

RTX 4090

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Mistral-7B is released under the Apache 2.0 license\n\nThis instruction model is a transformer model with the following architecture choices:\n\n* Grouped-Query Attention\n* Sliding-Window Attention\n* Byte-fallback BPE tokenizer\n\n\n### Terms of use:\nBy accessing this model, you are agreeing to the Mistral 7B Terms and Conditions of the [License](https://mistral.ai/news/announcing-mistral-7b/), [Terms of Service](https://mistral.ai/terms-of-service/).\n\n### References(s):\n\n* Mistral 7B Instruct [Model Card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on Hugging Face \n* Mistral 7B [paper](https://arxiv.org/abs/2310.06825)\n* Mistral 7B [blogpost](https://mistral.ai/news/announcing-mistral-7b/)\n\n### Model Architecture:\n\n**Architecture Type:** Transformer \n\n**Network Architecture:** Mistral-7B \n\n### Input:\n**Input Format:** Text \n\n**Input Parameters:** None \n\n### Output:\n\n**Output Format:** Text\n\n**Output Parameters:** None\n\n### Software Integration:\n\n**Supported Hardware Platform(s):** RTX 4090, Ada GPUs \n\n**Supported Operating System(s):** Windows\n\n### Inference:\n\n[TRT-LLM Inference Engine](https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/llama) \n[Windows Setup with TRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main/windows) \n\n### Test Hardware:\nRTX 4090","displayName","Mistral-7B Chat Int4",["D",1741240309482],"publisher","Mistral AI","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/-/models/mistral-7b-int4-chat","rawImageUrl","https://catalog.ngc.nvidia.com/demos/mistral.jpg","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[265],"displayLabels",[255],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_223":256,"_257":258,"_259":260,"_261":262},"Conversational AI","value","soln_conversational_ai","filter",{"_263":264,"_257":258},"category","label","field","technology",{"_223":266,"_257":267,"_259":268,"_261":269},"Runs on RTX","pltfm_runs_on_rtx",{"_263":270,"_257":267},"feature","platform",{"_133":1250,"_135":1251},"ngcApps",[1203],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1184":1185,"_1186":1187,"_1188":1189,"_1190":1191,"_1192":282,"_164":306,"_1193":1194,"_1195":59,"_1196":112,"_1197":112,"_1198":1199,"_1200":112,"_1201":1202},"amplitude",{"_1181":1182,"_818":-7,"_1183":35},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1175":1176,"_1177":1178,"_1179":1180},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1058":240,"_1059":1060,"_1061":1062,"_1063":1064},"announcements",[],"consentState",{"_344":1048,"_1049":112,"_1050":35,"_1051":35,"_1052":1053},"consentConfig",{"_326":327,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341,"_342":343,"_344":345},"showContactAdmin",1784761384877,[],[],[320,321,322,323,324,325],{"_49":63,"_51":74,"_53":128,"_55":-5,"_57":-5,"_58":59},{"_49":63,"_51":70,"_53":128,"_55":-5,"_57":-5,"_58":59},{"_49":63,"_51":68,"_53":128,"_55":-5,"_57":-5,"_58":59},{"_49":63,"_51":64,"_53":128,"_55":-5,"_57":-5,"_58":59},{"_49":60,"_51":61,"_53":128,"_55":-5,"_57":-5,"_58":59},{"_49":50,"_51":52,"_53":128,"_55":-5,"_57":-5,"_58":59},"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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