AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.
翻譯準備中
開發工具C++ · PythonGitHub @Niko1221自行安裝營運者未確認
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10月30日 14:16 檢查 · 分數為各平台在最後檢查時顯示的數值。我們不複製貼文內文與留言,原文刪除後此處也會移除。
製作者的介紹僅有上面的一句話。 更多詳情請閱讀儲存庫 README。 儲存庫 README ↗
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檢視完整 README ↗Free, open source, and yours to run. Use Strata on your desktop or with your favorite coding tools. No account needed.
We recommend ISTA-DASLab first, then Unsloth and other providers, where a compatible model fits.
| Provider | Choices |
|---|---|
| ISTA-DASLab · recommended | Q2_0, IQ2_XS, IQ3_XXS, IQ3_S. Coder: IQ1_M for coding. |
| Unsloth | UD-IQ4_XS, UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, Q8_0 |
| Gyro · agentionai | Gyro-S, Gyro-M. Lower memory use but slower. |
| Other options | Swift 1.5, NVFP4, OrcaRouter |
Compare sizes, memory needs and compatibility.
Unsloth: UD-Q4_K_XL, UD-Q6_K_XL, Q8_0. These are the currently documented packs for this model.
Model guide and compatibility.
In the desktop app and the Terminal. What does not fit in memory is read from your SSD, so it needs a lot of free disk space.
| Set (IST-DAS) | Download | Free disk needed |
|---|---|---|
| 1.75 bpw | 239 GB | about 245 GB |
| 2.00 bpw | 257 GB | about 265 GB |
| 2.25 bpw | 274 GB | about 280 GB |
Runs on NVIDIA RTX 30, 40 and 50 series (Windows and Linux), AMD Radeon AI PRO R9700 (Linux), AMD Ryzen AI Max — Strix Halo (Windows), and Apple Silicon Macs with 64 GB or more, text only (Mac). Setup downloads the files and the DeepSeek engine, then starts the model.
strata launch --family deepseek41 --model ist-das-2.00bpw --plan
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.
| Hardware | Output | Prompt |
|---|---|---|
| RTX 5070 12 GB, 64 GB RAM | 4 to 6 tokens/s | about 110 tokens/s (4K) |
| RTX 3060 12 GB, 46 GB RAM | 9 to 11 tokens/s | about 155 tokens/s (4K) |
| 1x Radeon AI PRO R9700, 251 GB RAM | 21 to 25 tokens/s | 320 to 360 tokens/s (8K) |
| 4x Radeon AI PRO R9700 | 74 to 77 tokens/s | 400 to 450 tokens/s (8K) |
| Ryzen AI Max+ 395 (Strix Halo), 128 GB unified | 19 to 21 tokens/s (code), 11 (chat) | 87 tokens/s (4K), 125 tokens/s (8K) |
Memory, disk and details · Release notes
Not sure what fits? Choose a model for your computer.
Download Strata for Windows, Linux or Mac →
Install the app, choose a model, and start chatting. There is one installer for each system. On first start the app downloads the engine for your graphics card. Help with the installer.
Files: Strata-0.2.8-windows-x64-setup.exe · Strata-0.2.8-linux-x86_64.AppImage · Strata-0.2.8-macos-arm64.dmg
Prefer the terminal? Install Strata, then run strata launch.
Linux / Mac
curl -fsSL https://github.com/Niko1221/Strata/releases/latest/download/install.sh -o install.sh && sh install.sh
Windows PowerShell
irm https://github.com/Niko1221/Strata/releases/latest/download/install.ps1 | iex
On Windows, open a new terminal afterwards. Then:
strata launch
Follow the prompts to download and start a model. Terminal guide.
Build from source · Docker · Full install guide
| Supported hardware | Guide |
|---|---|
| NVIDIA GeForce RTX 20 / 30 / 40 / 50 series | NVIDIA setup |
| AMD Radeon RX 7700 / 7800 / 7900, RX 9060 / 9070, AI PRO R9700 | AMD setup |
| AMD Radeon RX 6800 / 6900 · experimental | RX 6000 setup |
| Intel Arc · Linux | Intel setup |
| Apple Silicon · M1 or newer | Mac setup |
| AMD Ryzen AI Max · Strix Halo | Strix Halo setup |
| NVIDIA DGX Spark · Linux | DGX Spark setup |
Claude Code · Codex CLI · OpenCode · oh-my-pi · pi.dev · Hermes Agent · OpenClaw, and more through the OpenAI- and Anthropic-compatible APIs.
Run strata connect to see setup instructions for your tool. Connection guide.
All guides · Troubleshooting · Report a bug · Benchmarks · How it works · Contribute
Help keep local AI open to everyone. A coffee helps fund development and testing on more hardware.
MIT license · Credits and model licenses · Privacy
For AI tools and automated readers: technical reference · setup instructions.
Sponsorships, hardware partnerships or collaborations: [email protected].