Model Overview

Description:

Gemma-7B is a 7B parameter model from Gemma family of models from Google. It has been instruction-tuned so it can respond to prompts in a conversation manner. Nvidia has converted original Gemma weights and format into weight and format that can be consumed by Tensorrt-LLM.

Terms of use:

By accessing this model, you are agreeing to Gemma Terms of Use, Gemma Prohibited Use Policy .

References(s):

Gemma Model Card
Gemma blogpost

Input:

Input Format: Text

Input Parameters: None

Output:

Output Format: Text

Output Parameters: None

Software Integration:

Supported Hardware Platform(s): RTX 4090

Supported Operating System(s): Windows

Inference:

Windows Setup with TRT-LLM

TRT-LLM Inference Engine

Test Hardware:

RTX 4090

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Nvidia has converted original Gemma weights and format into weight and format that can be consumed by Tensorrt-LLM.\n\n\n### Terms of use:\nBy accessing this model, you are agreeing to [Gemma Terms of Use](https://ai.google.dev/gemma/terms), [Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy) .\n\n### References(s):\n\n* Gemma [Model Card](https://ai.google.dev/gemma/docs/model_card) \n* Gemma [blogpost](https://blog.google/technology/developers/gemma-open-models/)\n\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 \n\n**Supported Operating System(s):** Windows\n\n### Inference:\n\n[Windows Setup with TRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/gemma/windows) \n\n[TRT-LLM Inference Engine](https://github.com/NVIDIA/TensorRT-LLM/tree/gemma/examples/gemma) \n\n\n### Test Hardware:\nRTX 4090","displayName","Gemma-7B-INT4-RTX",["D",1713374768335],"publisher","Google","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/llama/resources/gemma-7b-int4-rtx","rawImageUrl","https://developer.download.nvidia.com/images/Google_logo.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[272],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_241":273,"_274":275,"_276":277,"_278":88},"AI","value","soln_ai","filter",{"_279":280,"_274":275},"category","field","technology",{"_153":1455,"_155":1456},"ngcApps",[1408],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1389":1390,"_1391":1392,"_1393":1394,"_1395":1396,"_1397":292,"_110":316,"_1398":1399,"_1400":59,"_1401":91,"_1402":91,"_1403":1404,"_1405":91,"_1406":1407},"amplitude",{"_1386":1387,"_988":-7,"_1388":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1380":1381,"_1382":1383,"_1384":1385},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1263":219,"_1264":1265,"_1266":1267,"_1268":1269},"announcements",[],"consentState",{"_354":1253,"_1254":34,"_1255":34,"_1256":91,"_1257":1258},"consentConfig",{"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349,"_350":351,"_352":353,"_354":355},"showContactAdmin",1784151581490,[],[],[330,331,332,333,334,335],{"_48":63,"_50":74,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":70,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":68,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":64,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":53,"_54":55,"_56":62,"_58":59},{"_48":49,"_50":51,"_52":148,"_54":-5,"_56":-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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