[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"readme:strata":3},"\u003Cp align=\"center\">\n  \u003Cpicture>\n    \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"apps\u002Fhost\u002Fpublic\u002Fbrand\u002Fstrata-lockup-dark.svg\">\u003C\u002Fsource>\n    \u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNiko1221\u002Fstrata\u002FHEAD\u002Fapps\u002Fhost\u002Fpublic\u002Fbrand\u002Fstrata-lockup-light.svg\" alt=\"Strata\" width=\"340\" \u002F>\n  \u003C\u002Fpicture>\n\u003C\u002Fp>\u003Ch3>Run powerful AI on your own computer.\u003C\u002Fh3>\n\u003Cp align=\"center\">Chat, code and work with images, locally.\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"#models\" rel=\"nofollow ugc noopener\">Models\u003C\u002Fa> · \u003Ca href=\"#install\" rel=\"nofollow ugc noopener\">\u003Cb>Install\u003C\u002Fb>\u003C\u002Fa> ·\n  \u003Ca href=\"#hardware\" rel=\"nofollow ugc noopener\">Hardware\u003C\u002Fa> · \u003Ca href=\"#tools\" rel=\"nofollow ugc noopener\">Tools\u003C\u002Fa> ·\n  \u003Ca href=\"#help\" rel=\"nofollow ugc noopener\">Help\u003C\u002Fa> · \u003Ca href=\"#support-strata\" rel=\"nofollow ugc noopener\">Support\u003C\u002Fa>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002FStrata\u002Freleases\u002Flatest\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fv\u002Frelease\u002FNiko1221\u002FStrata?label=download&amp;color=0ab887\" alt=\"Download Strata\" \u002F>\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FLICENSE\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002FNiko1221\u002FStrata\" alt=\"MIT license\" \u002F>\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsponsors\u002FNiko1221\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FSponsor-EA4AAA?logo=githubsponsors&amp;logoColor=fff\" alt=\"Sponsor Strata on GitHub Sponsors\" \u002F>\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fbuymeacoffee.com\u002Fstrataengine\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FBuy_me_a_coffee-FFDD00?logo=buymeacoffee&amp;logoColor=000\" alt=\"Support Strata on Buy Me a Coffee\" \u002F>\u003C\u002Fa>\n\u003C\u002Fp>\u003Cp align=\"center\">\u003Csub>\u003Cb>English\u003C\u002Fb> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.zh-CN.md\" rel=\"nofollow ugc noopener\">简体中文\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.ja.md\" rel=\"nofollow ugc noopener\">日本語\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.de.md\" rel=\"nofollow ugc noopener\">Deutsch\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.fr.md\" rel=\"nofollow ugc noopener\">Français\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.es.md\" rel=\"nofollow ugc noopener\">Español\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.pt-BR.md\" rel=\"nofollow ugc noopener\">Português\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002FREADME.pl.md\" rel=\"nofollow ugc noopener\">Polski\u003C\u002Fa>\u003C\u002Fsub>\u003C\u002Fp>\u003Cp>\u003Cstrong>Free, open source, and yours to run.\u003C\u002Fstrong> Use Strata on your desktop or with your favorite coding tools. No account needed.\u003C\u002Fp>\n\u003Ch2>Models\u003C\u002Fh2>\n\u003Cp>We recommend \u003Cstrong>ISTA-DASLab first\u003C\u002Fstrong>, then \u003Cstrong>Unsloth\u003C\u002Fstrong> and other providers, where a compatible model fits.\u003C\u002Fp>\n\u003Cdetails>\n\u003Csummary>\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNiko1221\u002Fstrata\u002FHEAD\u002Fdocs\u002Fmedia\u002Fmodels\u002Fqwen.svg\" width=\"22\" alt=\"\" align=\"middle\" \u002F>  \u003Cb>Qwen3.8-Flash-Next\u003C\u002Fb>\u003C\u002Fsummary>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Provider\u003C\u002Fth>\n\u003Cth>Choices\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>\u003Cstrong>ISTA-DASLab · recommended\u003C\u002Fstrong>\u003C\u002Ftd>\n\u003Ctd>Q2_0, IQ2_XS, IQ3_XXS, IQ3_S. \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FMODELS.md#coder\" rel=\"nofollow ugc noopener\">Coder: IQ1_M\u003C\u002Fa> for coding.\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Cstrong>Unsloth\u003C\u002Fstrong>\u003C\u002Ftd>\n\u003Ctd>UD-IQ4_XS, UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, Q8_0\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Cstrong>Gyro · agentionai\u003C\u002Fstrong>\u003C\u002Ftd>\n\u003Ctd>\u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fagentionai\u002FQwen3.8-Flash-Next-Gyro-GGUF\" rel=\"nofollow ugc noopener\">Gyro-S, Gyro-M\u003C\u002Fa>. Lower memory use but slower.\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Cstrong>Other options\u003C\u002Fstrong>\u003C\u002Ftd>\n\u003Ctd>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FMODELS.md#swift-15\" rel=\"nofollow ugc noopener\">Swift 1.5\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FNVFP4.md\" rel=\"nofollow ugc noopener\">NVFP4\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FORCA.md\" rel=\"nofollow ugc noopener\">OrcaRouter\u003C\u002Fa>\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FMODELS.md\" rel=\"nofollow ugc noopener\">Compare sizes, memory needs and compatibility\u003C\u002Fa>.\u003C\u002Fp>\n\u003C\u002Fdetails>\u003Cdetails>\n\u003Csummary>\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNiko1221\u002Fstrata\u002FHEAD\u002Fdocs\u002Fmedia\u002Fmodels\u002Fqwen.svg\" width=\"22\" alt=\"\" align=\"middle\" \u002F>  \u003Cb>Qwen3.6-35B-A3B\u003C\u002Fb>\u003C\u002Fsummary>\u003Cp>\u003Cstrong>Unsloth:\u003C\u002Fstrong> UD-Q4_K_XL, UD-Q6_K_XL, Q8_0. These are the currently documented packs for this model.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FQWEN36.md\" rel=\"nofollow ugc noopener\">Model guide and compatibility\u003C\u002Fa>.\u003C\u002Fp>\n\u003C\u002Fdetails>\u003Cdetails>\n\u003Csummary>\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNiko1221\u002Fstrata\u002FHEAD\u002Fdocs\u002Fmedia\u002Fmodels\u002Fdeepseek.svg\" width=\"22\" alt=\"\" align=\"middle\" \u002F>  \u003Cb>DeepSeekV4.1-Flash-1017\u003C\u002Fb>\u003C\u002Fsummary>\u003Cp>In the \u003Cstrong>desktop app\u003C\u002Fstrong> and the \u003Cstrong>Terminal\u003C\u002Fstrong>. What does not fit in memory is read from your SSD, so it needs a lot of free\ndisk space.\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Set (ISTA-DAS)\u003C\u002Fth>\n\u003Cth align=\"right\">Download\u003C\u002Fth>\n\u003Cth align=\"right\">Free disk needed\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>1.75 bpw\u003C\u002Ftd>\n\u003Ctd align=\"right\">239 GB\u003C\u002Ftd>\n\u003Ctd align=\"right\">about 245 GB\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>2.00 bpw\u003C\u002Ftd>\n\u003Ctd align=\"right\">257 GB\u003C\u002Ftd>\n\u003Ctd align=\"right\">about 265 GB\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>2.25 bpw\u003C\u002Ftd>\n\u003Ctd align=\"right\">274 GB\u003C\u002Ftd>\n\u003Ctd align=\"right\">about 280 GB\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>ISTA-DAS Coder (half of the experts removed)\u003C\u002Ftd>\n\u003Ctd align=\"right\">191 GB\u003C\u002Ftd>\n\u003Ctd align=\"right\">about 197 GB\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cp>Runs on NVIDIA RTX 30, 40 and 50 series (Windows and Linux), AMD Radeon AI PRO R9700 (Linux), AMD Ryzen AI Max — Strix Halo\n(Windows), and Apple Silicon Macs with 64 GB or more, text only (\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNiko1221\u002Fstrata\u002Fblob\u002FHEAD\u002Fdocs\u002FDEEPSEEK_MAC.md\" rel=\"nofollow ugc noopener\">Mac\u003C\u002Fa>). Setup downloads the files and the DeepSeek engine, then starts the model.\u003C\u002Fp>\n\u003Cpre>\u003Ccode class=\"language-sh\">strata launch --family deepseek41 --model ist-das-2.00bpw --plan\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cp>Measured with the 2.00 bpw set on Strata 0.2.5 (Strix Halo: 0.2.7). Output is the speed of the answer, prompt is how fast Strata reads your input.\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Hardware\u003C\u002Fth>\n\u003Cth align=\"right\">Output\u003C\u002Fth>\n\u003Cth align=\"right\">Prompt\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>RTX 5070 12 GB, 64 GB RAM\u003C\u002Ftd>\n\u003Ctd align=\"right\">4 to 6 tokens\u002Fs\u003C\u002Ftd>\n\u003Ctd align=\"right\">about 110 t\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003C\u002Fdetails>",1793926099331]