Model Overview

Description:

Gemma-2B is a 2.5B 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-2B-FP16-RTX",["D",1709826685271],"publisher","Google","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/-/resources/gemma-2b-fp16-rtx","rawImageUrl","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[240],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_209":241,"_242":243,"_244":245,"_246":247},"AI","value","soln_ai","filter",{"_248":249,"_242":243},"category","label","field","technology",{"_112":1231,"_114":1232},"ngcApps",[1184],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1165":1166,"_1167":1168,"_1169":1170,"_1171":1172,"_1173":261,"_143":285,"_1174":1175,"_1176":56,"_1177":91,"_1178":91,"_1179":1180,"_1181":91,"_1182":1183},"amplitude",{"_1162":1163,"_798":-7,"_1164":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1156":1157,"_1158":1159,"_1160":1161},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1038":184,"_1039":1040,"_1041":1042,"_1043":1044},"announcements",[],"consentState",{"_323":1028,"_1029":91,"_1030":31,"_1031":31,"_1032":1033},"consentConfig",{"_305":306,"_307":308,"_309":310,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320,"_321":322,"_323":324},"showContactAdmin",1785074468464,[],[],[299,300,301,302,303,304],{"_45":59,"_47":69,"_49":107,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":67,"_49":107,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":66,"_49":107,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":60,"_49":107,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":107,"_51":-5,"_53":-5,"_55":56},{"_45":46,"_47":48,"_49":107,"_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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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","nv_co","__uxq412__ses.88c1","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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Name	Size	Updated	Actions
Gemma-2B-FP16.zip	5.14 GB	March 7, 2024 UTC	curl wget Download
Gemma-7B-INT4.zip	6.2 GB	March 7, 2024 UTC	curl wget Download