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",1741240326383],"publisher","Mistral AI","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/llama/models/mistral-7b-int4-chat","rawImageUrl","https://catalog.ngc.nvidia.com/demos/mistral.jpg","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[240,241],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_208":249,"_243":250,"_244":251,"_246":247},{"_208":242,"_243":242,"_244":245,"_246":247},"NSPECT-U715-0I80","value","filter",{"_248":247,"_243":242},"category","label","field","Conversational AI","soln_conversational_ai",{"_248":252,"_243":250},"technology",{"_119":1428,"_121":1429},"ngcApps",[1381],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1362":1363,"_1364":1365,"_1366":1367,"_1368":1369,"_1370":264,"_150":288,"_1371":1372,"_1373":59,"_1374":98,"_1375":98,"_1376":1377,"_1378":98,"_1379":1380},"amplitude",{"_1359":1360,"_961":-7,"_1361":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1353":1354,"_1355":1356,"_1357":1358},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1236":225,"_1237":1238,"_1239":1240,"_1241":1242},"announcements",[],"consentState",{"_327":1226,"_1227":98,"_1228":34,"_1229":34,"_1230":1231},"consentConfig",{"_309":310,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320,"_321":322,"_323":324,"_325":326,"_327":328},"showContactAdmin",1784288120803,[],[],[302,303,304,305,306,307],{"_48":62,"_50":72,"_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":114,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":53,"_54":55,"_56":308,"_58":59},4,"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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