Model Overview

Description:

ChatGLM3-6B is the latest open-source model in the ChatGLM series. While retaining many excellent features such as smooth dialogue and low deployment threshold from the previous two generations, ChatGLM3-6B introduces the following features.\n(1) More Powerful Base Model\n(2) More Comprehensive Function Support\n(3) More Comprehensive Open-source Series.

ChatGLM3-6B is released under the Apache 2.0 license.

Terms of use:

By accessing this model, you are agreeing to the ChatGLM3-6B Terms and Conditions of the Model License.

References(s):

ChatGLM3-6B Model Card on Hugging Face

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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ChatGLM3-6B introduces the following features (1) More Powerful Base Model (2) More Comprehensive Function Support (3) More Comprehensive Open-source Series.","Model Overview\n--------------\n\n### Description:\nChatGLM3-6B is the latest open-source model in the ChatGLM series. While retaining many excellent features such as smooth dialogue and low deployment threshold from the previous two generations, ChatGLM3-6B introduces the following features. \n (1) More Powerful Base Model \n (2) More Comprehensive Function Support \n (3) More Comprehensive Open-source Series. \n\nChatGLM3-6B is released under the Apache 2.0 license.\n\n\n### Terms of use:\nBy accessing this model, you are agreeing to the ChatGLM3-6B Terms and Conditions of the [Model License](https://huggingface.co/THUDM/chatglm3-6b/blob/main/MODEL_LICENSE).\n\n### References(s):\n\n* ChatGLM3-6B [Model Card](https://huggingface.co/THUDM/chatglm3-6b) on Hugging Face \n\n\n### Model Architecture:\n\n**Architecture Type:** Transformer \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, 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/chatglm) \n[Windows Setup with TRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main/windows) \n\n### Test Hardware:\nRTX 4090","ChatGLM3-6B Chat Int4",["D",1731434069910],"Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University","/api/image/nvidia/-/models/chatglm3-6b-chat-int4","https://developer.download.nvidia.com/images/ChatGLM_LOGO.png","bias","","explainability","privacy","safetyAndSecurity",[265],[252,253],[],[],[],{"_89":261,"_255":262,"_256":263,"_258":259},{"_89":254,"_255":254,"_256":257,"_258":259},"NSPECT-4KAV-KIBO","value","filter",{"_260":259,"_255":254},"category","label","field","AI","soln_ai",{"_260":264,"_255":262},"technology",{"_89":266,"_255":267,"_256":268,"_258":269},"Runs on RTX","pltfm_runs_on_rtx",{"_260":270,"_255":267},"feature","platform",{"_146":1246,"_148":1247},"ngcApps",[1199],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1180":1181,"_1182":1183,"_1184":1185,"_1186":1187,"_1188":282,"_177":306,"_1189":1190,"_1191":51,"_1192":124,"_1193":124,"_1194":1195,"_1196":124,"_1197":1198},"amplitude",{"_1177":1178,"_819":-7,"_1179":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1171":1172,"_1173":1174,"_1175":1176},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1059":243,"_1060":1061,"_1062":1063,"_1064":1065},"announcements",[],"consentState",{"_345":1049,"_1050":26,"_1051":26,"_1052":124,"_1053":1054},"consentConfig",{"_327":328,"_329":330,"_331":332,"_333":334,"_335":336,"_337":338,"_339":340,"_341":342,"_343":344,"_345":346},"showContactAdmin",1785250942088,[],[],[320,321,322,323,324,325,326],{"_40":55,"_42":65,"_44":66,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":63,"_44":66,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":61,"_44":66,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":60,"_44":66,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":56,"_44":66,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":45,"_46":47,"_48":54,"_50":51},{"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51},"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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