diff --git a/README.md b/README.md index 7ce671fb1..2e94b51ce 100644 --- a/README.md +++ b/README.md @@ -1,357 +1,189 @@

- Strata + Strata

-

English · 简体中文 · 日本語 · Deutsch · Français · Español · Português

- -

Run a state-of-the-art model on your own gaming PC

- -

Support for NVIDIA, AMD, Intel · Windows, Linux, Mac · free and open source

+

Run powerful AI on your own computer.

+

Chat, code and work with images, locally.

- Latest release + Models · Install · + Hardware · Tools · + Help · Support +

+ +

+ Download Strata MIT license - GitHub stars - Buy me a coffee + Support Strata on Buy Me a Coffee

-

A voxel pagoda garden that Strata's model wrote, running in the browser
-A voxel pagoda garden, 1 shot prompt running on an RTX 5070 with Strata (IQ3_S, 128K context) · -full video (49 s)

+

English · 简体中文 · 日本語 · Deutsch · Français · Español · Português

-

- Install · - Models · - Speed · - Using it · - How it works · - Help · - Support -

+**Free, open source, and yours to run.** Use Strata on your desktop or with your favorite coding tools. No account needed. -Strata runs **[Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next)**, a 125-billion-parameter model that -normally needs a server, on a normal PC. From 0.2.4 it also runs **DeepSeek V4.1-Flash** in the Terminal. It chats, writes -code, reads pictures and works with your apps and coding agents. Your chats and files stay on your PC. +## Models -- **Runs on a gaming PC.** 32 GB of RAM and graphics memory together is enough to start. -- **Works with your tools.** Claude Code, Codex CLI, OpenCode and other agents connect through the OpenAI and Anthropic APIs. -- **Reads pictures**, on by default. -- **Free and private.** MIT license, no account, no cloud, no telemetry ([what it downloads and when](docs/SAFETY.md)). +We recommend **ISTA-DASLab first**, then **Unsloth** and other providers, where a compatible model fits. -## What you need +
+  DeepSeekV4.1-Flash-1017 -**At least 32 GB of memory: RAM and graphics memory (VRAM) together.** On a Mac or a Ryzen AI Max that is the unified -memory. A 32 GB PC with a 12-16 GB card runs the smaller sizes, and 64 GB runs every size. +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. -| Works on | Guide | +| 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) and AMD Radeon AI PRO R9700 (Linux). Setup downloads the +files and the DeepSeek engine, then starts the model. + +```sh +strata launch --family deepseek41 --model ist-das-2.00bpw --plan +``` + +Measured with the 2.00 bpw set on Strata 0.2.5. 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) | + +[Memory, disk and details](docs/DEEPSEEK41.md) · [Release notes](https://github.com/Niko1221/Strata/releases) + +
+ +
+  Qwen3.8-Flash-Next + +| Provider | Choices | | --- | --- | -| **NVIDIA** GeForce RTX 20, 30, 40 and 50 series, 12 GB or more | [Install](#install) | -| **AMD** Radeon RX 6800 and newer, Radeon AI PRO R9700 | [AMD cards](docs/AMD_HIP.md) | -| **Intel** Arc | [Intel Arc](docs/INTEL_ARC.md) | -| **Apple Silicon Mac**, M1 or newer, macOS 15 or newer | [Mac](docs/MAC.md) | -| **AMD Ryzen AI Max (Strix Halo)** and other unified-memory PCs | [Strix Halo](docs/STRIX_HALO.md) | -| Older cards and processors | [Older GPUs](docs/OLDER_GPUS.md) | +| **ISTA-DASLab · recommended** | Q2\_0, IQ2\_XS, IQ3\_XXS, IQ3\_S. [Coder: IQ1\_M](docs/MODELS.md#coder) 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](https://huggingface.co/agentionai/Qwen3.8-Flash-Next-Gyro-GGUF). Lower memory use but slower. | +| **Other options** | [Swift 1.5](docs/MODELS.md#swift-15), [NVFP4](docs/NVFP4.md), [OrcaRouter](docs/ORCA.md) | -You also need about 80 GB of free disk (an SSD), Windows 10 / 11, Linux or macOS, and a current graphics driver. Two or -three cards of the same make can share a model ([multi-GPU](docs/MULTI_GPU.md)). +[Compare sizes, memory needs and compatibility](docs/MODELS.md). + +
+ +
+  Qwen3.6-35B-A3B + +**Unsloth:** UD-Q4_K_XL, UD-Q6_K_XL, Q8_0. These are the currently documented packs for this model. + +[Model guide and compatibility](docs/QWEN36.md). + +
+ + + +Not sure what fits? [Choose a model for your computer](docs/MODELS.md#pick-by-memory). ## Install -### 1. The Strata app (easiest) + -Download the file for your computer, open it, and press install on the model it recommends. +### Desktop app -**Windows 10 / 11** +**[Download Strata for Windows, Linux or Mac →](https://github.com/Niko1221/Strata/releases/latest)** -[![Windows](https://img.shields.io/badge/Windows-10%20%2F%2011-0078D4?style=for-the-badge&logo=windows&logoColor=white)](https://github.com/Niko1221/Strata/releases/latest/download/Strata-0.2.5-windows-x64-setup.exe) +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](docs/INSTALL.md#the-app). -**Linux** +

+ Strata desktop app with a chat and live code preview side by side +
Chat, files and a live preview in one window. +

-[![Linux](https://img.shields.io/badge/Linux-AppImage-FCC624?style=for-the-badge&logo=linux&logoColor=black)](https://github.com/Niko1221/Strata/releases/latest/download/Strata-0.2.5-linux-x86_64.AppImage) + -**Mac** (Apple Silicon, macOS 15 or newer) +### Terminal app -[![Mac, Apple Silicon](https://img.shields.io/badge/Mac-Apple%20Silicon-333333?style=for-the-badge&logo=apple&logoColor=white)](https://github.com/Niko1221/Strata/releases/latest/download/Strata-0.2.5-macos-arm64.dmg) +Prefer the terminal? Install Strata, then run **`strata launch`**. -The app picks the right engine for your graphics card by itself. All files are on the [releases page](https://github.com/Niko1221/Strata/releases/latest). +
+Install commands -| First start | What to do | -| --- | --- | -| **Windows** | Run the `.exe`. No administrator rights needed. If Windows says "Windows protected your PC", choose **More info**, then **Run anyway**. | -| **Linux** | `chmod +x` the file and start it. It needs FUSE 2: `sudo apt install libfuse2t64` (Ubuntu 24.04 and newer) or `libfuse2` (22.04). | -| **Mac** | Open the `.dmg` and drag Strata onto Applications. | - -The model download is big (40-70 GB). If it stops, it continues where it left off. - -### 2. The Terminal (one line) - -The `strata` command, for scripts, servers and AI agents. It is also the way to run DeepSeek. - -Linux and Mac: +**Linux / Mac** ```sh curl -fsSL https://github.com/Niko1221/Strata/releases/latest/download/install.sh -o install.sh && sh install.sh ``` -Windows (PowerShell): +**Windows PowerShell** ```powershell irm https://github.com/Niko1221/Strata/releases/latest/download/install.ps1 | iex ``` -Then start it. It asks one question at a time (model, context, pictures, who may connect), downloads what it needs and -starts serving: +On Windows, open a new terminal afterwards. Then: ```sh strata launch ``` -No admin rights needed. The install checks the SHA-256 of everything it downloads. On Windows, open a new terminal window -after the install. All screens and flags: [docs/TERMINAL_LAUNCH.md](docs/TERMINAL_LAUNCH.md). - -### 3. Let your AI set it up - -Paste this into Claude Code, Cursor, Codex, GitHub Copilot or another coding assistant: - -```text -Set up Strata on this PC for me: https://github.com/Niko1221/Strata - follow docs/AI_SETUP.md in that repository. -``` - -It checks your graphics card, RAM and disk, picks the model that fits, installs it, starts it and tells you how to connect -your apps. AI tools can also install, start and stop Strata through its [MCP server](docs/MCP_SERVER.md). - -Prefer to build it yourself? See [Build from source](#build-from-source). - -## Models - -The app and `strata launch` recommend a size for your memory. Smaller sizes are faster, larger sizes are a bit smarter. - -### Low on memory? Start with Gyro - -[Gyro](https://huggingface.co/agentionai/Qwen3.8-Flash-Next-Gyro-GGUF) by agentionai is the smallest way to run -Qwen3.8-Flash-Next. It runs on NVIDIA, AMD, Intel Arc and Apple Silicon. - -| Size | Memory it needs (RAM + VRAM) | Download | Good for | -| --- | ---: | ---: | --- | -| **Gyro-S** | 27.6 GB | 58.5 GB | PCs that fit nothing else. 9 tokens/s on a 32 GB Mac mini. | -| **Gyro-M** | 35 GB | 92.0 GB | About IQ3_XXS quality with 20% less GPU memory. | - -Start it with `strata launch --model gyro-s`. Details: [docs/GYRO.md](docs/GYRO.md). - -### Qwen3.8-Flash-Next sizes - -| Your memory (RAM + VRAM) | Take | Why | -| --- | --- | --- | -| **32 GB** | **Gyro-S**, or the **[Coder](docs/MODELS.md#coder)** for code | The Coder keeps the experts that code uses | -| **40 GB** | **[Swift 1.5](docs/MODELS.md#swift-15)** IQ2_XS (39.2 GB) or **Gyro-M** | Swift thinks for a shorter time before it answers | -| **48 GB** | **IQ3_XXS** (47.0 GB) | Slower, better | -| **64 GB** | **IQ3_S** (54.8 GB) | Matches the full model on the published tests | -| **96 GB or more** | Unsloth's **UD-IQ4_XS** to **Q8_0** | Closest to the full model | - -Less RAM than a row says can still work, only slower: Strata switches to its -[low-RAM mode](docs/MODELS.md#a-big-graphics-card-and-little-ram) by itself. Also available: -[NVFP4](docs/NVFP4.md) for NVIDIA cards, [Qwen3.6-35B-A3B](docs/QWEN36.md) (smaller, several requests at once) and -[OrcaRouter's Uncensored IQ3_XXS](docs/MODELS.md#orcarouter-uncensored-iq3_xxs). Every size and what fits where: -[docs/MODELS.md](docs/MODELS.md). - -### DeepSeek V4.1-Flash (Terminal, from 0.2.4) - -A much bigger model that runs on one 12 GB graphics card with 46 to 64 GB of RAM. Strata keeps the busiest parts in memory and -reads the rest from your SSD. [ISTA-DASLab](https://huggingface.co/ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF) -made the sets. It runs on NVIDIA RTX 30, 40 and 50 cards and the Radeon AI PRO R9700. Pick it in `strata launch`; the desktop -app does not offer it yet. - -| Set | Download | Quality | Writes code at | -| --- | ---: | --- | --- | -| **IQ1_M** (1.75 bits) | 239 GB | The smallest; weaker on plain prose | not measured on a PC yet | -| **IQ2_XXS** (2.00 bits) | 257 GB | Good balance | 10 tokens/s (RTX 3060), 5 (RTX 5070), 48 (4x R9700) | -| **IQ2_XS** (2.25 bits) | 274 GB | Closest to the original | 15 tokens/s (one R9700), 80 (4x R9700) | -| **IQ4_NL** (Engram table) | in every download above | The lookup table all three sets share | | - -Start it with `strata launch --model ist-das-2.00bpw` (or `ist-das-1.75bpw`, `ist-das-2.25bpw`). Quality numbers, speeds -per PC and the manual install: [docs/DEEPSEEK41.md](docs/DEEPSEEK41.md). - -## How fast is it? - -Based on a 12 GB graphics card (RTX 5070, 64 GB RAM). Results from other cards: -[speed of each model](docs/MODELS.md#how-fast-is-each-size) and [community results](docs/COMMUNITY_BENCHMARKS.md). - -| Model | Answers appear at | Reads your prompt at | -| --- | --- | --- | -| **Q2_0** | `████████████` 94 tokens/s | `████████████` 2,650 tokens/s | -| **IQ2_XS** | `██████████░░` 79 tokens/s | `█████████░░░` 2,090 tokens/s | -| **IQ3_XXS** | `████████░░░░` 62 tokens/s | `████████░░░░` 1,750 tokens/s | -| **IQ3_S** | `███████░░░░░` 53 tokens/s | `███████░░░░░` 1,620 tokens/s | -| **Coder** | `███████░░░░░` 55 tokens/s | `██████████░░` 2,180 tokens/s | - -On a 16 GB AMD card (RX 9070 XT, 47 GB RAM): - -| Model | Answers appear at | Reads your prompt at | -| --- | --- | --- | -| **Q2_0** | `████████░░░░` 60 tokens/s | `█████░░░░░░░` 1,160 tokens/s | -| **IQ2_XS** | `███████░░░░░` 52 tokens/s | `█████░░░░░░░` 1,110 tokens/s | -| **Coder** | `██████░░░░░░` 44 tokens/s | `██████░░░░░░` 1,420 tokens/s | - -A token is about ¾ of a word, so 60 tokens per second is faster than you can read. "Reads your prompt" is how fast Strata -takes in a long document, code or chat history. - -## Using it - -### In the app - -Chat, a **Monitor** of the model and your GPU, CPU and RAM, a **Models** page and **Settings**. The chat can work in a -folder on your PC. In **Manual** mode it asks before it changes a file or runs a command. It can search the web -(DuckDuckGo or Bing, no account); the search words are the one thing that leaves your PC. - -

The Strata app: a chat where the agent built a small voxel pagoda garden, with the page open in the preview on the right
-The agent wrote a voxel pagoda garden as one HTML file, and the page opens in the preview next to the chat

- -### In the Terminal - -

The Strata Terminal monitor overview while the model writes a reply
-strata monitor while the model writes a reply: speed, GPU, memory and the recent requests

- -```sh -strata launch # guided: model, context, pictures, access, then serve -strata launch --model q2_0 --yes --no-tui # no questions: serve and print the address -strata launch --status # what is being served now -strata launch --stop # stop it -strata monitor # watch speed, GPU, memory and requests -strata update # get the newest engine -strata doctor # check the installed files -``` - -To reach Strata from your phone or another PC, use `strata launch --access lan`. It makes an API key for you. -`strata --help` lists everything, and [docs/TERMINAL.md](docs/TERMINAL.md) explains it. - -### With AI agents and other apps - -An agent installs Strata with the one-line command above and runs `strata launch --model NAME --yes --no-tui`. Steps, -flags and exit codes: [docs/AI_SETUP.md](docs/AI_SETUP.md). Repository rules for agents: [AGENTS.md](AGENTS.md). - -| Your app speaks | Base URL | -| --- | --- | -| OpenAI API (most apps and agents) | `http://127.0.0.1:8080/v1` (any API key, any model name) | -| Anthropic API (Claude Code) | `http://127.0.0.1:8080`, without `/v1`. Claude Code: `ANTHROPIC_BASE_URL=http://127.0.0.1:8080` | -| OpenAI Responses API (Codex CLI) | `http://127.0.0.1:8080/v1/responses` ([setup](docs/DETAILS.md#the-responses-api-and-codex-cli)) | - -`strata connect` prints the exact settings for OpenCode, Codex CLI, Claude Code, oh-my-pi, pi, Hermes Agent and OpenClaw, -and `strata connect opencode --write` writes them for you (with a backup). - -### Good to know - -- **Pictures** are on for every model that can read them. Attach or paste one in the chat, or send it from your app. Details: [docs/IMAGES.md](docs/IMAGES.md). -- **Thinking** can be off, low, medium or high, in the chat menu or your app's "reasoning effort". Off is fastest. -- **The first message** of a chat is read in full, about 1 minute per 30,000 tokens. Follow-ups start in seconds. -- **One request at a time** by default. For more, use `--parallel N` ([BATCHING.md](docs/BATCHING.md)). On a 12 GB card each answer gets slower. - -## Build from source - -
-Windows, Linux and Mac from the repository - -[Download Strata](https://github.com/Niko1221/Strata/archive/refs/heads/main.zip) and unzip it, or `git clone` it. -**Windows:** double-click `START-HERE.bat`. **Linux:** run `./setup.sh` in the Strata folder. - -**Mac (Apple Silicon, macOS 15 or newer):** install Apple's Command Line Tools once with `xcode-select --install` -(Xcode itself is not needed). Open Terminal in the Strata folder and run `./setup.sh`. It builds the Mac engine on your -Mac (about 7 minutes), asks the same questions, downloads the model and starts it. Next time, `./setup.sh` starts it -right away. Which size fits your Mac: [docs/MAC.md](docs/MAC.md). - -The installer finds your card and sets up the right engine. It asks which model and size, how much context (how much text -the model keeps in mind) and whether it should read pictures. Press Enter for the recommended answer. Then it downloads the -model (about 70 GB) and starts it. If the download stops, run it again and it continues. Your browser opens the Strata -page at `http://127.0.0.1:8080`. - -> While the model starts, your PC can be slow or stop responding for 1-3 minutes (longest the first time). Strata loads -> 35-55 GB into your RAM and locks part of it for the graphics card. Wait, and don't close the window. - -Next time, run `START-HERE.bat` (or `./setup.sh`) again. It starts right away and downloads nothing twice. Close its -window to stop the model. `UPDATE.bat` (`./update.sh`) updates Strata without starting it. Updating, Docker, several cards, -where the files go and every option: [docs/INSTALL.md](docs/INSTALL.md). - -To measure your PC, run `BENCH.bat` (`./bench.sh`). It takes 5-10 minutes and writes a report you can share -([how](docs/COMMUNITY_BENCHMARKS.md#run-the-benchmark)). - -**Optional: more speed on one card when the whole model fits in RAM.** Two opt-in settings by RubenTorney (#1904, #1905). -They help when you run one graphics card and your RAM holds every expert, for example Q2_0 or IQ3_XXS on a 64 GB PC. Open -`strata-.json` in the Strata data folder ([where](docs/INSTALL.md#where-things-are-stored)) and add: - -- `"--adapt-async", "1"` to the `"args"` list. The expert cache then updates on a helper thread instead of pausing the - answer. Measured on an RTX 5070 (Windows, Q2_0): +4-5% decode, +7-10% on code and long documents. Answers can differ - slightly from the default and stay the same from run to run. -- `"STRATA_PIN_BY_NEED": "1"` in the `"env"` block (Windows). Windows can lock only about half the RAM for the graphics - card, and this locks the experts the card needs first. Measured on the RTX 5070: +4.4% prompt reading. - -```json -"args": [ ..., "--adapt-async", "1" ], -"env": { "STRATA_PIN_BY_NEED": "1" } -``` - -Restart Strata after the change. To undo, remove the two entries. +Follow the prompts to download and start a model. [Terminal guide](docs/TERMINAL_LAUNCH.md).
-## How does it work? +

+ Strata terminal app showing model activity, speed, memory and recent requests +
Watch your model and hardware while it runs. +

-Models like this one usually run on servers with hundreds of gigabytes of graphics memory. Your graphics card has -12-24 GB. Strata makes the model fit by sharing the work across your whole PC. Picture a library. + -- The model is a team of 24,576 small specialists ("experts"), like 24,576 reference books. Each word needs only 10 of them. -- **Your graphics card is the desk.** It is small and fast. The roughly 4,000 books used most often lie open on it. -- **Your RAM is the shelves in the reading room.** All 24,576 books are there. When a word needs a book that is not on the - desk, your processor reads it from the shelf at once, while the card keeps working. -- **Your SSD is the archive.** It holds a 29 GB lookup table. The model reads a few rows of it per word, so it does not - need to sit in RAM. +[Build from source](docs/INSTALL.md#from-source-windows) · [Docker](docs/DOCKER.md) · [Full install guide](docs/INSTALL.md) -

The model's 24,576 experts: the busiest on the graphics card, all of them in RAM, a lookup table on the SSD

+ -A small helper also guesses the next few words. The big model checks all of them at once and keeps the right ones. You get -the same answer, 1.6-1.8x sooner. Long texts are read in big pieces, up to 8,192 tokens at a time, at over 1,000 tokens -per second. +## Hardware -

A small helper guesses the next words; the big model checks them all at once and keeps the right ones

+| Supported hardware | Guide | +| --- | --- | +| **NVIDIA GeForce RTX 20 / 30 / 40 / 50 series** | [NVIDIA setup](docs/INSTALL.md#what-you-need) | +| **AMD Radeon RX 7700 / 7800 / 7900, RX 9060 / 9070, AI PRO R9700** | [AMD setup](docs/AMD_HIP.md) | +| **AMD Radeon RX 6800 / 6900 · experimental** | [RX 6000 setup](docs/AMD_HIP.md#rdna2-gfx1030) | +| **Intel Arc · Linux** | [Intel setup](docs/INTEL_ARC.md) | +| **Apple Silicon · M1 or newer** | [Mac setup](docs/MAC.md) | +| **AMD Ryzen AI Max · Strix Halo** | [Strix Halo setup](docs/STRIX_HALO.md) | -The longer explanation: [docs/HOW_IT_WORKS.md](docs/HOW_IT_WORKS.md). Every part and its numbers: -[the details](docs/DETAILS.md#how-it-works) and the [paper](docs/paper/Strata-Paper.pdf). + -## Something went wrong? +## Tools -- **My PC froze the first time Strata started.** It loads the model into RAM. Wait, and don't close the window. Still - frozen after 10 minutes? Restart the PC, close other programs and try again, or pick a smaller size. -- **It stopped while downloading or installing.** Start the app or `strata launch` again. It continues where it stopped. -- **It is very slow, or it says "the engine stopped unexpectedly".** Your PC is short on free RAM. Close other programs - (browsers use a lot), or pick a smaller size such as Q2_0 or IQ2_XS. -- **It says there is no engine for this PC.** In the app, open **Settings, Engine** and press **Update engine**. In the - Terminal, run `strata update`. -- **It says port 8080 is already in use.** Strata is already running. Look for its window. +**Claude Code · Codex CLI · OpenCode · oh-my-pi · pi.dev · Hermes Agent · OpenClaw**, and more through the OpenAI- and Anthropic-compatible APIs. -More fixes: [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md). Still stuck? Open an -[issue](https://github.com/Niko1221/Strata/issues) and attach the logs: in the app from **Settings, Engine, Diagnostics, -Save logs**, in the Terminal the output of `strata doctor`. For a security problem, report it privately: [SECURITY.md](SECURITY.md). +Run **`strata connect`** to see setup instructions for your tool. [Connection guide](docs/TERMINAL_LAUNCH.md#connect-your-apps-strata-connect). -## Credits and license + + + + -The model is [Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next) by the Qwen team. It was compressed by -[ISTA-DASLab](https://huggingface.co/ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF), UkisAI (Swift 1.5), agentionai (Gyro) -and Unsloth. ISTA-DASLab also made the DeepSeek V4.1-Flash sets. Strata uses parts of -[llama.cpp / ggml](https://github.com/ggml-org/llama.cpp). All credits: [docs/HOW_IT_WORKS.md](docs/HOW_IT_WORKS.md#credits). -Strata is open source under the [MIT License](LICENSE). A few parts and every model have their own licenses -([which ones](docs/HOW_IT_WORKS.md#license)). +## Help -## Contributing - -Found a bug, or want to send a change or a benchmark? Read [CONTRIBUTING.md](CONTRIBUTING.md) first. It says what to -include so that others can check your work. +[All guides](docs) · [Troubleshooting](docs/TROUBLESHOOTING.md) · [Report a bug](https://github.com/Niko1221/Strata/issues/new/choose) · +[Benchmarks](docs/COMMUNITY_BENCHMARKS.md) · [How it works](docs/HOW_IT_WORKS.md) · [Contribute](CONTRIBUTING.md) ## Support Strata -Strata is free and MIT-licensed. I build it and test it on whatever hardware I can get. If it runs well on your PC, a coffee helps -me keep testing new cards and fixing what you report. No pressure. Using it and reporting what you find helps just as much. +**Help keep local AI open to everyone.** A coffee helps fund development and testing on more hardware. -Buy Me A Coffee +Buy Me a Coffee: support Strata -Interested in sponsoring Strata? Contact me via [GitHub](https://github.com/Niko1221). +[MIT license](LICENSE) · [Credits and model licenses](docs/HOW_IT_WORKS.md#credits) · [Privacy](docs/SAFETY.md) + + + +For AI tools and automated readers: technical reference · setup instructions. + +**Sponsorships, hardware partnerships or collaborations:** [niko.veit@outlook.com](mailto:niko.veit@outlook.com). diff --git a/docs/media/models/LICENSE b/docs/media/models/LICENSE new file mode 100644 index 000000000..1dd53d2a9 --- /dev/null +++ b/docs/media/models/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 LobeHub + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/docs/media/models/README.md b/docs/media/models/README.md new file mode 100644 index 000000000..3ee46b9ed --- /dev/null +++ b/docs/media/models/README.md @@ -0,0 +1,8 @@ +# Model logos + +Small Qwen and DeepSeek marks from [LobeHub Icons](https://github.com/lobehub/lobe-icons), used to identify model families. Downloaded 23 October 2026; SVG artwork is unchanged. + +- [Qwen source](https://github.com/lobehub/lobe-icons/blob/master/packages/static-svg/icons/qwen-color.svg) +- [DeepSeek source](https://github.com/lobehub/lobe-icons/blob/master/packages/static-svg/icons/deepseek-color.svg) + +The icon library is [MIT licensed](LICENSE), copyright 2023 LobeHub. Model names and brand marks belong to their respective owners. diff --git a/docs/media/models/deepseek.svg b/docs/media/models/deepseek.svg new file mode 100644 index 000000000..3fc230240 --- /dev/null +++ b/docs/media/models/deepseek.svg @@ -0,0 +1 @@ +DeepSeek \ No newline at end of file diff --git a/docs/media/models/qwen.svg b/docs/media/models/qwen.svg new file mode 100644 index 000000000..93d3311ac --- /dev/null +++ b/docs/media/models/qwen.svg @@ -0,0 +1 @@ +Qwen \ No newline at end of file