Description:

Phi-3 Medium is a lightweight, state-of-the-art open model. The\nmodel belongs to the Phi-3 model family, and the small version comes in two\nvariants 4K and 128K which is the context length (in tokens) it can support.\nThe model underwent a rigorous enhancement process, incorporating both\nsupervised fine-tuning and direct preference optimization to ensure precise\ninstruction adherence and robust safety measures.

The model is licensed under the MIT license

Terms of use:

By accessing this model, you are agreeing to the Terms and Conditions of the MIT License.

References(s):

Phi-3-medium-128k-instruct Model Card
Phi-3 blogpost

Model Architecture:

Architecture Type: Transformer

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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The \nmodel belongs to the Phi-3 model family, and the small version comes in two \nvariants 4K and 128K which is the context length (in tokens) it can support. \nThe model underwent a rigorous enhancement process, incorporating both \nsupervised fine-tuning and direct preference optimization to ensure precise \ninstruction adherence and robust safety measures. \n\nThe model is licensed under the MIT license \n\n### Terms of use:\nBy accessing this model, you are agreeing to the Terms and Conditions of the [MIT License](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct/blob/main/LICENSE).\n\n### References(s):\n\n* Phi-3-medium-128k-instruct [Model Card](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct)\n* Phi-3 [blogpost](https://azure.microsoft.com/en-us/blog/new-models-added-to-the-phi-3-family-available-on-microsoft-azure/) \n\n### Model Architecture:\n\n**Architecture Type:** Transformer \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/phi) \n[Windows Setup with TRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main/windows) \n\n### Test Hardware:\nRTX 4090","displayName","Phi-3-Medium-128k Instruct Int4 RTX",["D",1723226653170],"publisher","Microsoft","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/-/models/phi-3-medium-128k-instruct-int4-rtx","rawImageUrl","https://developer.download.nvidia.com/images/microsoft-logo.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[254],"displayLabels",[237,238,239],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_205":250,"_241":251,"_242":252,"_244":245},{"_205":247,"_241":247,"_242":248,"_244":245},{"_205":240,"_241":240,"_242":243,"_244":245},"NSPECT-566U-2ZOY","value","filter",{"_246":245,"_241":240},"category","label","field","English",{"_246":249,"_241":247},"language","AI","soln_ai",{"_246":253,"_241":251},"technology",{"_205":255,"_241":256,"_242":257,"_244":258},"Runs on RTX","pltfm_runs_on_rtx",{"_246":259,"_241":256},"feature","platform",{"_118":1435,"_120":1436},"ngcApps",[1388],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1369":1370,"_1371":1372,"_1373":1374,"_1375":1376,"_1377":271,"_149":295,"_1378":1379,"_1380":59,"_1381":97,"_1382":97,"_1383":1384,"_1385":97,"_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":222,"_1244":1245,"_1246":1247,"_1248":1249},"announcements",[],"consentState",{"_333":1233,"_1234":97,"_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",1784214852999,[],[],[309,310,311,312,313,314],{"_48":62,"_50":73,"_52":113,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":69,"_52":113,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":67,"_52":113,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":63,"_52":113,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":113,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_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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