Model Overview

Description:

Built with Meta Llama 3 -\nThe Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Llama 3 is an auto-regressive language model that uses an optimized transformer architecture.

Terms of use

By accessing this model, you are agreeing to the LLama 3 terms and conditions of the license, acceptable use policy, and Meta’s privacy policy

References(s):

Meta Llama 3 Model Card on Hugging Face
Meta Llama 3 blogpost

Model Architecture:

Architecture Type: Transformer
\nNetwork Architecture: Llama 3
\nModel version: N/A

Input:

Input Format: Text
\nInput Parameters: Temperature, TopP

Output:

Output Format: Text and code\nOutput Parameters: Max output tokens

Software Integration:

Runtime(s): N/A
\nSupported Hardware Platform(s): RTX 4090
\nSupported Operating System(s): Windows

Inference:

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

Test Hardware:

RTX 4090

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The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. \n\n### Terms of use\n\nBy accessing this model, you are agreeing to the LLama 3 terms and conditions of the [license](https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE), [acceptable use policy](https://llama.meta.com/llama3/use-policy), and [Meta’s privacy policy](https://www.facebook.com/privacy/policy/)\n\n### References(s):\n\n* Meta Llama 3 [Model Card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on Hugging Face \n* Meta Llama 3 [blogpost](https://ai.meta.com/blog/meta-llama-3) \n \n\n### Model Architecture:\n\n**Architecture Type:** Transformer \n**Network Architecture:** Llama 3 \n**Model version:** N/A \n\n### Input:\n\n**Input Format:** Text \n**Input Parameters:** Temperature, TopP \n \n\n### Output:\n\n**Output Format:** Text and code \n**Output Parameters:** Max output tokens \n\n\n### Software Integration:\n\n**Runtime(s):** N/A \n**Supported Hardware Platform(s):** RTX 4090 \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","Llama3-8B Instruct Int4",["D",1732745404981],"publisher","Meta","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/-/models/llama3-8b-instruct","rawImageUrl","https://catalog.ngc.nvidia.com/demos/llama2.jpg","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[254],"displayLabels",[238,239,240],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_206":250,"_242":251,"_243":252,"_245":246},{"_206":248,"_242":248,"_243":249,"_245":246},{"_206":241,"_242":241,"_243":244,"_245":246},"NSPECT-AA4Q-8OHU","value","filter",{"_247":246,"_242":241},"category","label","field","NSPECT-566U-2ZOY",{"_247":246,"_242":248},"AI","soln_ai",{"_247":253,"_242":251},"technology",{"_206":255,"_242":256,"_243":257,"_245":258},"Runs on RTX","pltfm_runs_on_rtx",{"_247":259,"_242":256},"feature","platform",{"_120":1435,"_122":1436},"ngcApps",[1388],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1369":1370,"_1371":1372,"_1373":1374,"_1375":1376,"_1377":271,"_151":295,"_1378":1379,"_1380":59,"_1381":99,"_1382":99,"_1383":1384,"_1385":99,"_1386":1387},"amplitude",{"_1366":1367,"_968":-7,"_1368":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1360":1361,"_1362":1363,"_1364":1365},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1243":223,"_1244":1245,"_1246":1247,"_1248":1249},"announcements",[],"consentState",{"_333":1233,"_1234":99,"_1235":34,"_1236":34,"_1237":1238},"consentConfig",{"_315":316,"_317":318,"_319":320,"_321":322,"_323":324,"_325":326,"_327":328,"_329":330,"_331":332,"_333":334},"showContactAdmin",1784171955282,[],[],[309,310,311,312,313,314],{"_48":62,"_50":73,"_52":115,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":69,"_52":115,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":67,"_52":115,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":63,"_52":115,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":115,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":115,"_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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