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","versions","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",[457],"displayLabels",[447],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_414":448,"_449":450,"_451":452,"_453":454},"Conversational AI","value","soln_conversational_ai","filter",{"_455":456,"_449":450},"category","label","field","technology",{"_414":458,"_449":459,"_451":460,"_453":461},"Runs on RTX","pltfm_runs_on_rtx",{"_455":462,"_449":459},"feature","platform",{"_311":1440,"_313":1441},"ngcApps",[1393],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1374":1375,"_1376":1377,"_1378":1379,"_1380":1381,"_1382":474,"_342":500,"_1383":1384,"_1385":56,"_1386":290,"_1387":290,"_1388":1389,"_1390":290,"_1391":1392},"amplitude",{"_1371":1372,"_1011":-7,"_1373":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1365":1366,"_1367":1368,"_1369":1370},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1788739093654,"1.15.0","defaultSearchSuggestions",{"_1251":432,"_1252":1253,"_1254":1255,"_1256":1257},"announcements",[],"consentState",{"_537":1241,"_1242":290,"_1243":31,"_1244":31,"_1245":1246},"consentConfig",{"_519":520,"_521":522,"_523":524,"_525":526,"_527":528,"_529":530,"_531":532,"_533":534,"_535":536,"_537":538},"showContactAdmin",[],[],[513,514,515,516,517,518],{"_45":60,"_47":70,"_49":306,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":68,"_49":306,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":66,"_49":306,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":61,"_49":306,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":306,"_51":-5,"_53":-5,"_55":56},{"_45":46,"_47":48,"_49":306,"_51":-5,"_53":-5,"_55":56},"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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Name	Size	Updated	Actions


mistral_tp1_rank0.npz	13.69 GB	February 28, 2025 UTC	curl wget Download
mistral_tp1.json	92.64 KB	February 28, 2025 UTC	curl wget Download