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---
title: From Source
---
# Install Jan from Source
## Installation
### Pre-requisites
Before proceeding with the installation of Jan from source, ensure that the following software versions are installed on your system:
- Node.js version 20.0.0 or higher
- Yarn version 1.22.0 or higher
### Instructions
> **_Note:_** This instruction is tested on MacOS only.
1. Clone the Jan repository from GitHub
```bash
git clone https://github.com/janhq/jan
git checkout DESIRED_BRANCH
cd jan
```
2. Install the required dependencies using Yarn
```bash
yarn install
# Build core module
yarn build:core
# Packing base plugins
yarn build:plugins
# Packing uikit
yarn build:uikit
```
3. Run development and using Jan
```bash
yarn dev
```
This will start the development server and open the desktop app. During this step, you may encounter notifications about installing base plugins. Simply click `OK` and `Next` to continue.
#### For production build
Build the app for macOS M1/M2 for production and place the result in the dist folder
```bash
# Do step 1 and 2 in previous section
git clone https://github.com/janhq/jan
cd jan
yarn install
# Build core module
yarn build:core
# Package base plugins
yarn build:plugins
# Packing uikit
yarn build:uikit
# Build the app
yarn build
```
This completes the installation process for Jan from source. The production-ready app for macOS can be found in the dist folder.

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title: Linux
---
# Installing Jan on Linux
# Jan on Linux
## Installation
### Step 1: Download the Installer
To begin using 👋Jan.ai on your Windows computer, follow these steps:
1. Visit [Jan.ai](https://jan.ai/).
2. Click on the "Download for Windows" button to download the Jan Installer.
![Jan Installer](/img/jan-download.png)
:::tip
For faster results, you should enable your NVIDIA GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager or from here: [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads).
:::
1. To download the lastest version of Jan on Linux, please visit the [Jan's homepage](https://jan.ai/).
2. For Debian/Ubuntu-based distributions, the recommended installation method is through the `.deb` package (64-bit). This can be done either through the graphical software center, if available, or via the command line using the following:
```bash
apt install nvidia-cuda-toolkit
sudo apt install ./jan-linux-amd64-<version>.deb
# sudo apt install ./jan-linux-arm64-0.3.1.deb
```
Check the installation by
## Uninstall Jan
To uninstall VS Code on Linux, you should use your package manager's uninstall or remove option. For Debian/Ubuntu-based distributions, if you installed Jan via the `.deb` package, you can uninstall Jan using the following command:
```bash
nvidia-smi
sudo apt-get remove jan`
# where jan is the name of Jan package
```
:::tip
For AMD GPU. You can download it from your Linux distro's package manager or from here: [ROCm Quick Start (Linux)](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html).
:::
### Step 2: Download your first model
Now, let's get your first model:
1. After installation, you'll find the 👋Jan application icon on your desktop. Double-click to open it.
2. Welcome to the Jan homepage. Click on "Explore Models" to see the Model catalog.
![Explore models](/img/explore-model.png)
3. You can also see different quantized versions by clicking on "Show Available Versions."
![Model versions](/img/model-version.png)
> Note: Choose a model that matches your computer's memory and RAM.
4. Select your preferred model and click "Download."
![Downloading](/img/downloading.png)
### Step 3: Start the model
Once your model is downloaded. Go to "My Models" and then click "Start Model."
![Start model](/img/start-model.png)
### Step 4: Start the conversations
Now you're ready to start using 👋Jan.ai for conversations:
Click "Chat" and begin your first conversation by selecting "New conversation."
You can also check the CPU and Memory usage of the computer.
![Chat](/img/chat.png)
That's it! Enjoy using Large Language Models (LLMs) with 👋Jan.ai.
## Uninstallation
## Troubleshooting
In case you wish to completely remove all user data associated with Jan after uninstallation, you can delete the user data folders located at `$HOME/.config/Jan` and ~/.jan. This will return your system to its state prior to the installation of Jan. This method can also be used to reset all settings if you are experiencing any issues with Jan.

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title: Mac
---
# Jan on MacOS
## Installation
1. To download the lastest version of Jan on MacOS, please visit the [Jan's homepage](https://jan.ai/).
2. On the homepage, please choose the appropriate release version for your system architecture as follows:
- Intel Mac: `jan-mac-x64-<version>.dmg`
- Apple Silicon Mac: `jan-mac-arm64-<version>.dmg`
### Step 1: Download the Installer
To begin using 👋Jan.ai on your Windows computer, follow these steps:
1. Visit [Jan.ai](https://jan.ai/).
2. Click on the "Download for Windows" button to download the Jan Installer.
![Jan Installer](/img/jan-download.png)
### Step 2: Download your first model
Now, let's get your first model:
1. After installation, you'll find the 👋Jan application icon on your desktop. Open it.
2. Welcome to the Jan homepage. Click on "Explore Models" to see the Model catalog.
![Explore models](/img/explore-model.png)
3. You can also see different quantized versions by clicking on "Show Available Versions."
![Model versions](/img/model-version.png)
> Note: Choose a model that matches your computer's memory and RAM.
4. Select your preferred model and click "Download."
![Downloading](/img/downloading.png)
### Step 3: Start the model
Once your model is downloaded. Go to "My Models" and then click "Start Model."
![Start model](/img/start-model.png)
### Step 4: Start the conversations
Now you're ready to start using 👋Jan.ai for conversations:
Click "Chat" and begin your first conversation by selecting "New conversation."
You can also check the CPU and Memory usage of the computer.
![Chat](/img/chat.png)
That's it! Enjoy using Large Language Models (LLMs) with 👋Jan.ai.
## Uninstallation
As Jan is development mode, you might get stuck on a broken build.
To reset your installation:
## Uninstall Jan
As Jan is development mode, you might get stuck on a broken build
To reset your installation
1. Delete Jan from your `/Applications` folder
2. Delete Application data:
```sh
2. Delete Application data
```bash
# Newer versions
rm -rf /Users/$(whoami)/Library/Application\ Support/jan
# Versions 0.2.0 and older
rm -rf /Users/$(whoami)/Library/Application\ Support/jan-electron
```
3. Clear Application cache:
```sh
3. Clear Application cache
```bash
rm -rf /Users/$(whoami)/Library/Caches/jan*
```
4. Use the following commands to remove any dangling backend processes:
```sh
```bash
ps aux | grep nitro
```
Look for processes like "nitro" and "nitro_arm_64," and kill them one by one with:
```sh
```bash
kill -9 <PID>
```
## FAQs
## Common Questions
### Does Jan run on Apple Silicon machines?
Yes, Jan supports MacOS Arm64 builds that can run on Macs with the Apple Silicon chipsets. You can install Jan on your Apple Silicon Mac by downloading the `jan-mac-arm64-<version>.dmg` file from the [Jan's homepage](https://jan.ai/).
### Which package should I download for my Mac?
Jan supports both Intel and Apple Silicon Macs. To find which appropriate package to download for your Mac, please follow this official guide from Apple: [Get system information about your Mac - Apple Support](https://support.apple.com/guide/mac-help/syspr35536/mac).

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---
title: Overview
---
Getting up and running open-source AI models on your own computer with Jan is quick and easy. Jan is lightweight and can run on a variety of hardware and platform versions. Specific requirements tailored to your platform are outlined below.
## Cross platform
A free, open-source alternative to OpenAI that runs on the Linux, macOS, and Windows operating systems. Please refer to the specific guides below for your platform
- [Linux](/install/linux)
- [MacOS (Mac Intel Chip and Mac Apple Silicon Chip)](/install/mac)
- [Windows](/install/windows)
## Requirements for Jan
### Hardware
Jan is a lightweight platform designed for seamless download, storage, and execution of open-source Large Language Models (LLMs). With a small download size of less than 200 MB and a disk footprint of under 300 MB, Jan is optimized for efficiency and should run smoothly on modern hardware.
To ensure optimal performance while using Jan and handling LLM models, it is recommended to meet the following system requirements:
#### Disk space
- Minimum requirement
- At least 5 GB of free disk space is required to accommodate the download, storage, and management of open-source LLM models.
- Recommended
- For an optimal experience and to run most available open-source LLM models on Jan, it is recommended to have 10 GB of free disk space.
#### Random Access Memory (RAM) and Graphics Processing Unit Video Random Access Memory (GPU VRAM)
The amount of RAM on your system plays a crucial role in determining the size and complexity of LLM models you can effectively run. Jan can be utilized on traditional computers where RAM is a key resource. For enhanced performance, Jan also supports GPU acceleration, utilizing the VRAM of your graphics card.
#### Relationship between RAM and VRAM Sizes in Relation to LLM Models
The RAM and GPU VRAM requirements are dependent on the size and complexity of the LLM models you intend to run. The following are some general guidelines to help you determine the amount of RAM or VRAM you need to run LLM models on Jan
- 8 GB of RAM: Suitable for running smaller models like 3B models or quantized 7B models
- 16 GB of RAM(recommended): This is considered the "minimum usable models" threshold, particularly for 7B models (e.g Mistral 7B, etc)
- Beyond 16GB of RAM: Required for handling larger and more sophisticated model, such as 70B models.
### Architecture
Jan is designed to run on muptiple architectures, versatility and widespread usability. The supported architectures include:
#### CPU
- x86: Jan is well-suited for systems with x86 architecture, which is commonly found in traditional desktops and laptops. It ensures smooth performance on a variety of devices using x86 processors.
- ARM: Jan is optimized to run efficiently on ARM-based systems, extending compatibility to a broad range of devices using ARM processors.
#### GPU
- NVIDIA: Jan optimizes the computational capabilities of NVIDIA GPUs, achieving efficiency through the utilization of llama.cpp. This strategic integration enhances the performance of Jan, particularly in resource-intensive Language Model (LLM) tasks. Users can expect accelerated processing and improved responsiveness when leveraging the processing capabilities inherent in NVIDIA GPUs.
- AMD: Users with AMD GPUs can seamlessly integrate Jan's GPU acceleration, offering a comprehensive solution for diverse hardware configurations and preferences.
- ARM64 Mac: Jan seamlessly supports ARM64 architecture on Mac systems, leveraging Metal for efficient GPU operations. This ensures a smooth and efficient experience for users with Apple Silicon Chips, utilizing the power of Metal for optimal performance on ARM64 Mac devices.

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title: Windows
---
# Installing Jan on Windows
## Step 1: Download the Installer
To begin using 👋Jan.ai on your Windows computer, follow these steps:
1. Visit [Jan.ai](https://jan.ai/).
2. Click on the "Download for Windows" button to download the Jan Installer.
![Jan Installer](/img/jan-download.png)
## Step 2: Proceed the Windows Defender
When you run the Jan Installer, Windows Defender may display a warning. Here's what to do:
1. Click "Run away" to accept and install 👋Jan.ai.
![Accept Jan](/img/window-defender.png)
1. Wait for the 👋Jan.ai installation to complete.
![Setting up](/img/set-up.png)
:::tip
For faster results, you should enable your NVIDIA GPU. Make sure to have the CUDA toolkit installed. You can download it from here: [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) or [CUDA Installation guide](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#verify-you-have-a-cuda-capable-gpu).
:::
Check the installation by
# Jan on Windows
## Installation
1. To download the lastest version of Jan on Windows, please visit the [Jan's homepage](https://jan.ai/).
2. Once Jan installer (jan-win-x64-{version}.exe) is downloaded, run the installer. The installation process is expected to take around a minute.
3. By default, Jan is installed under this directory
```bash
nvidia-smi
C:\Users\{username}\AppData\Local\Programs\Jan
```
:::tip
## Uninstall Jan
If you have installed Jan on your Windows computer, either as a User or System installation, you can easily uninstall it by going to the Windows Control Panel.
In case you wish to completely remove all user data associated with Jan after uninstallation, you can delete the user data folders located at `%APPDATA%\Jan`. This will return your system to its state prior to the installation of Jan. This method can also be used to reset all settings if you are experiencing any issues with Jan.
For AMD GPU, you should use [WSLv2](https://learn.microsoft.com/en-us/windows/wsl/install). You can download it from here: [ROCm Quick Start (Linux)](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html).
:::
## Step 3: Download your first model
Now, let's get your first model:
1. After installation, you'll find the 👋Jan application icon on your desktop. Double-click to open it.
2. Welcome to the Jan homepage. Click on "Explore Models" to see the Model catalog.
![Explore models](/img/explore-model.png)
1. You can also see different quantized versions by clicking on "Show Available Versions."
![Model versions](/img/model-version.png)
> Note: Choose a model that matches your computer's memory and RAM.
1. Select your preferred model and click "Download."
![Downloading](/img/downloading.png)
## Step 4: Start the model
Once your model is downloaded. Go to "My Models" and then click "Start Model."
![Start model](/img/start-model.png)
## Step 5: Start the conversations
Now you're ready to start using 👋Jan.ai for conversations:
Click "Chat" and begin your first conversation by selecting "New conversation."
You can also check the CPU and Memory usage of the computer.
![Chat](/img/chat.png)
That's it! Enjoy using Large Language Models (LLMs) with 👋Jan.ai.
## Common Questions
### Microsoft Defender SmartScreen prevented an unrecognized app from starting
When initiating the Jan Installer, be aware that Windows Defender may display a warning. This warning is a standard security measure, as the installer will make changes to the system. To proceed with the installation, navigate through the warning options, typically found in "More info" section and select the appropriate option to continue with the installation.

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title: Models
---
import ApiSchema from '@theme/ApiSchema';
:::warning
:::caution
Draft Specification: functionality has not been implemented yet.
Feedback: [HackMD: Models Spec](https://hackmd.io/ulO3uB1AQCqLa5SAAMFOQw)
:::
## Overview
Jan's Model API aims to be as similar as possible to [OpenAI's Models API](https://platform.openai.com/docs/api-reference/models), with additional methods for managing and running models locally.
In Jan, models are primary entities with the following capabilities:
### Objectives
- Users can import, configure, and run models locally.
- An [OpenAI Model API](https://platform.openai.com/docs/api-reference/models) compatible endpoint at `localhost:3000/v1/models`.
- Supported model formats: `ggufv3`, and more.
- Users can download, import and delete models
- Users can use remote models (e.g. OpenAI, OpenRouter)
- Users can start/stop models and use them in a thread (or via Chat Completions API)
- User can configure default model parameters at the model level (to be overridden later at message or thread level)
## Folder Structure
## Models Folder
- Models are stored in the `/models` folder.
- Models are organized by individual folders, each containing the binaries and configurations needed to run the model. This makes for easy packaging and sharing.
- Model folder names are unique and used as `model_id` default values.
Models in Jan are stored in the `/models` folder.
Models are stored and organized by folders, which are atomic representations of a model for easy packaging and version control.
A model's folder name is its `model.id` and contains:
- `<model-id>.json`, i.e. the [Model Object](#model-object)
- Binaries (may be downloaded later)
```shell
/jan # Jan root folder
/models
# GGUF model
/llama2-70b
llama2-70b.json
llama2-70b-q4_k_m.gguf
# Recommended Model (yet to be downloaded)
/mistral-7b
mistral-7b.json # Contains download instructions
# Note: mistral-7b-*.gguf binaries not downloaded yet
# Remote model
/azure-openai-gpt3-5
azure-openai-gpt3-5.json
# Note: No binaries
# Multiple Binaries
# COMING SOON
# Multiple Quantizations
# COMING SOON
# Imported model (autogenerated .json)
random-model-q4_k_m.bin
# Note: will be moved into a autogenerated folder
# /random-model-q4_k_m
# random-model-q4_k_m.bin
# random-model-q4_k_m.json (autogenerated)
```bash
jan/ # Jan root folder
models/
llama2-70b-q4_k_m/ # Example: standard GGUF model
model.json
model-binary-1.gguf
mistral-7b-gguf-q3_k_l/ # Example: quantizations are separate folders
model.json
mistral-7b-q3-K-L.gguf
mistral-7b-gguf-q8_k_m/ # Example: quantizations are separate folders
model.json
mistral-7b-q8_k_k.gguf
llava-ggml-Q5/ # Example: model with many partitions
model.json
mmprj.bin
model_q5.ggml
```
### Importing Models
## `model.json`
:::warning
- Each `model` folder contains a `model.json` file, which is a representation of a model.
- `model.json` contains metadata and default parameters used to run a model.
- The only required field is `source_url`.
- This has not been confirmed
- Dan's view: Jan should auto-detect and create folders automatically
- Jan's UI will allow users to rename folders and add metadata
### GGUF Example
:::
Here's a standard example `model.json` for a GGUF model.
You can import a model by just dragging it into the `/models` folder, similar to Oobabooga.
- Jan will detect and generate a corresponding `model-filename.json` file based on filename
- Jan will move it into its own `/model-id` folder once you define a `model-id` via the UI
- Jan will populate the model's `model-id.json` as you add metadata through the UI
## Model Object
:::warning
- This is currently not finalized
- Dan's view: I think the current JSON is extremely clunky
- We should move `init` to top-level (e.g. "settings"?)
- We should move `runtime` to top-level (e.g. "parameters"?)
- `metadata` is extremely overloaded and should be refactored
- Dan's view: we should make a model object very extensible
- A `GGUF` model would "extend" a common model object with extra fields (at top level)
- Dan's view: State is extremely badly named
- Recommended: `downloaded`, `started`, `stopped`, null (for yet-to-download)
- We should also note that this is only for local models (not remote)
:::
Jan represents models as `json`-based Model Object files, known colloquially as `model.jsons`. Jan aims for rough equivalence with [OpenAI's Model Object](https://platform.openai.com/docs/api-reference/models/object) with additional properties to support local models.
Jan's models follow a `model_id.json` naming convention, and are built to be extremely lightweight, with the only mandatory field being a `source_url` to download the model binaries.
<ApiSchema example pointer="#/components/schemas/Model" />
### Types of Models
:::warning
- This is currently not in the Model Object, and requires further discussion.
- Dan's view: we should have a field to differentiate between `local` and `remote` models
:::
There are 3 types of models.
- Local model
- Local model, yet-to-be downloaded (we have the URL)
- Remote model (i.e. OpenAI API)
#### Local Models
:::warning
- This is currently not finalized
- Dan's view: we should have `download_url` and `local_url` for local models (and possibly more)
:::
A `model.json` for a local model should always reference the following fields:
- `download_url`: the original download source of the model
- `local_url`: the current location of the model binaries (may be array of multiple binaries)
- `source_url`: https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/.
```json
// ./models/llama2/llama2-7bn-gguf.json
"local_url": "~/Downloads/llama-2-7bn-q5-k-l.gguf",
```
#### Remote Models
:::warning
- This is currently not finalized
- Dan's view: each cloud model should be provided via a syste module, or define its own params field on the `model` or `model.init` object
:::
A `model.json` for a remote model should always reference the following fields:
- `api_url`: the API endpoint of the model
- Any authentication parameters
```json
// Dan's view: This needs to be refactored pretty significantly
"source_url": "https://docs-test-001.openai.azure.com/openai.azure.com/docs-test-001/gpt4-turbo",
"parameters": {
"init" {
"API-KEY": "",
"DEPLOYMENT-NAME": "",
"api-version": "2023-05-15"
},
"runtime": {
"temperature": "0.7",
"max_tokens": "2048",
"presence_penalty": "0",
"top_p": "1",
"stream": "true"
}
}
"metadata": {
"engine": "api", // Dan's view: this should be a `type` field
}
```
### Importers
:::caution
- This is only an idea, has not been confirmed as part of spec
:::
Jan builds "importers" for users to seamlessly import models from a single URL.
We currently only provide this for [TheBloke models on Huggingface](https://huggingface.co/TheBloke) (i.e. one of the patron saints of llama.cpp), but we plan to add more in the future.
Currently, pasting a TheBloke Huggingface link in the Explore Models page will fire an importer, resulting in an:
- Nicely-formatted model card
- Fully-annotated `model.json` file
### Multiple Binaries
:::warning
- This is currently not finalized
- Dan's view: having these fields under `model.metadata` is not maintainable
- We should explore some sort of `local_url` structure
:::
- Model has multiple binaries `model-llava-1.5-ggml.json`
- See [source](https://huggingface.co/mys/ggml_llava-v1.5-13b)
```json
"source_url": "https://huggingface.co/mys/ggml_llava-v1.5-13b",
"parameters": {"init": {}, "runtime": {}}
"metadata": {
"mmproj_binary": "https://huggingface.co/mys/ggml_llava-v1.5-13b/blob/main/mmproj-model-f16.gguf",
"ggml_binary": "https://huggingface.co/mys/ggml_llava-v1.5-13b/blob/main/ggml-model-q5_k.gguf",
"engine": "llamacpp",
"quantization": "Q5_K"
}
```
## Models API
:::warning
- We should use the OpenAPI spec to discuss APIs
- Dan's view: This needs @louis and App Pod to review as they are more familiar with this
- Dan's view: Start/Stop model should have some UI indicator (show state, block input)
:::
See http://localhost:3001/api-reference#tag/Models.
| Method | API Call | OpenAI-equivalent |
| -------------- | ------------------------------- | ----------------- |
| List Models | GET /v1/models | true |
| Get Model | GET /v1/models/{model_id} | true |
| Delete Model | DELETE /v1/models/{model_id} | true |
| Start Model | PUT /v1/models/{model_id}/start | |
| Stop Model | PUT /v1/models/{model_id}/start | |
| Download Model | POST /v1/models/ | |
## Examples
### Local Model
- Model has 1 binary `model-zephyr-7B.json`
- See [source](https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/)
```json
// ./models/zephr/zephyr-7b-beta-Q4_K_M.json
// Note: Default fields omitted for brevity
"source_url": "https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/blob/main/zephyr-7b-beta.Q4_K_M.gguf",
"parameters": {
"init": {
"type": "model", // Defaults to "model"
"version": "1", // Defaults to 1
"id": "zephyr-7b" // Defaults to foldername
"name": "Zephyr 7B" // Defaults to foldername
"owned_by": "you" // Defaults to you
"created": 1231231 // Defaults to file creation time
"description": ""
"state": enum[null, "downloading", "ready", "starting", "stopping", ...]
"format": "ggufv3", // Defaults to "ggufv3"
"settings": { // Models are initialized with these settings
"ctx_len": "2048",
"ngl": "100",
"embedding": "true",
"n_parallel": "4",
"pre_prompt": "A chat between a curious user and an artificial intelligence",
"user_prompt": "USER: ",
"ai_prompt": "ASSISTANT: "
},
"runtime": {
// KIV: "pre_prompt": "A chat between a curious user and an artificial intelligence",
// KIV:"user_prompt": "USER: ",
// KIV: "ai_prompt": "ASSISTANT: "
}
"parameters": { // Models are called with these parameters
"temperature": "0.7",
"token_limit": "2048",
"top_k": "0",
"top_p": "1",
"stream": "true"
}
},
"metadata": {
"engine": "llamacpp",
"quantization": "Q3_K_L",
"size": "7B",
}
"metadata": {} // Defaults to {}
"assets": [ // Filepaths to model binaries; Defaults to current dir
"file://.../zephyr-7b-q4_k_m.bin",
]
```
### Remote Model
## API Reference
- Using a remote API to access model `model-azure-openai-gpt4-turbo.json`
- See [source](https://learn.microsoft.com/en-us/azure/ai-services/openai/quickstart?tabs=command-line%2Cpython&pivots=rest-api)
Jan's Model API is compatible with [OpenAI's Models API](https://platform.openai.com/docs/api-reference/models), with additional methods for managing and running models locally.
```json
"source_url": "https://docs-test-001.openai.azure.com/openai.azure.com/docs-test-001/gpt4-turbo",
"parameters": {
"init" {
"API-KEY": "",
"DEPLOYMENT-NAME": "",
"api-version": "2023-05-15"
},
"runtime": {
"temperature": "0.7",
"max_tokens": "2048",
"presence_penalty": "0",
"top_p": "1",
"stream": "true"
}
}
"metadata": {
"engine": "api",
}
```
See [Jan Models API](https://jan.ai/api-reference#tag/Models)
### Deferred Download
## Importing Models
- Jan ships with a default model folders containing recommended models
- Only the Model Object `json` files are included
- Users must later explicitly download the model binaries
-
```sh
models/
mistral-7b/
mistral-7b.json
hermes-7b/
hermes-7b.json
```
:::caution
### Multiple quantizations
This is current under development.
- Each quantization has its own `Jan Model Object` file
- TODO: `model.json`?
:::
```sh
llama2-7b-gguf/
llama2-7b-gguf-Q2.json
llama2-7b-gguf-Q3_K_L.json
.bin
```
You can import a model by dragging the model binary or gguf file into the `/models` folder.
### Multiple model partitions
- A Model that is partitioned into several binaries use just 1 file
```sh
llava-ggml/
llava-ggml-Q5.json
.proj
ggml
```
### Locally fine-tuned model
```sh
llama-70b-finetune/
llama-70b-finetune-q5.json
.bin
```
- Jan automatically generates a corresponding `model.json` file based on the binary filename.
- Jan automatically organizes it into its own `/models/model-id` folder.
- Jan automatically populates the `model.json` properties, which you can subsequently modify.

11
docs/docusaurus.config.js
View File

@ -34,6 +34,10 @@ const config = {
locales: ["en"],
},
markdown: {
mermaid: true,
},
// Plugins we added
plugins: [
"docusaurus-plugin-sass",
@ -58,7 +62,7 @@ const config = {
],
],
themes: ["@docusaurus/theme-live-codeblock"],
// The classic preset will relay each option entry to the respective sub plugin/theme.
presets: [
@ -103,8 +107,8 @@ const config = {
{
specs: [
{
spec: "openapi/jan.json", // can be local file, url, or parsed json object
route: "/api-reference", // path where to render docs
spec: "openapi/jan.yaml", // can be local file, url, or parsed json object
route: "/api-reference/", // path where to render docs
},
],
theme: {
@ -178,6 +182,7 @@ const config = {
respectPrefersColorScheme: false,
},
},
themes: ["@docusaurus/theme-live-codeblock", "@docusaurus/theme-mermaid"],
};
module.exports = config;

6
docs/package.json
View File

@ -21,9 +21,11 @@
"@headlessui/react": "^1.7.17",
"@heroicons/react": "^2.0.18",
"@mdx-js/react": "^1.6.22",
"@redocly/cli": "^1.4.1",
"autoprefixer": "^10.4.16",
"axios": "^1.5.1",
"clsx": "^1.2.1",
"@docusaurus/plugin-content-docs": "2.4.3",
"docusaurus-plugin-redoc": "^2.0.0",
"docusaurus-plugin-sass": "^0.2.5",
"docusaurus-theme-redoc": "^2.0.0",
@ -31,8 +33,8 @@
"postcss": "^8.4.30",
"posthog-docusaurus": "^2.0.0",
"prism-react-renderer": "^1.3.5",
"react": "^17.0.2",
"react-dom": "^17.0.2",
"react": "^18.2.0",
"react-dom": "^18.2.0",
"react-icons": "^4.11.0",
"redocusaurus": "^2.0.0",
"sass": "^1.69.3",

18
docs/redocly.yaml Normal file
View File

@ -0,0 +1,18 @@
# NOTE: Only supports options marked as "Supported in Redoc CE"
# See https://redocly.com/docs/cli/configuration/ for more information.
extends:
- recommended
rules:
no-unused-components: error
theme:
openapi:
schemaExpansionLevel: 2
generateCodeSamples:
languages:
- lang: curl
- lang: Python
- lang: JavaScript
- lang: Node.js

2
docs/sidebars.js
View File

@ -27,7 +27,7 @@ const sidebars = {
label: "Installation",
collapsible: true,
collapsed: true,
items: ["install/windows", "install/mac", "install/linux"],
items: ["install/overview","install/windows", "install/mac", "install/linux", "install/from-source"],
},
{
type: "category",

420
docs/yarn.lock
View File

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@ -533,7 +533,7 @@
dependencies:
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@ -645,9 +645,9 @@
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version "17.0.32"
resolved "https://registry.yarnpkg.com/@types/yargs/-/yargs-17.0.32.tgz#030774723a2f7faafebf645f4e5a48371dca6229"
integrity sha512-xQ67Yc/laOG5uMfX/093MRlGGCIBzZMarVa+gfNKJxWAIgykYpVGkBdbqEzGDDfCrVUj6Hiff4mTZ5BA6TmAog==
dependencies:
"@types/yargs-parser" "*"
@ -3135,7 +3157,7 @@ cheerio@^1.0.0-rc.12:
parse5 "^7.0.0"
parse5-htmlparser2-tree-adapter "^7.0.0"
"chokidar@>=3.0.0 <4.0.0", chokidar@^3.4.2, chokidar@^3.5.3:
"chokidar@>=3.0.0 <4.0.0", chokidar@^3.4.2, chokidar@^3.5.1, chokidar@^3.5.3:
version "3.5.3"
resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.5.3.tgz#1cf37c8707b932bd1af1ae22c0432e2acd1903bd"
integrity sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==
@ -3461,26 +3483,26 @@ copyfiles@^2.4.1:
yargs "^16.1.0"
core-js-compat@^3.31.0, core-js-compat@^3.33.1:
version "3.33.2"
resolved "https://registry.yarnpkg.com/core-js-compat/-/core-js-compat-3.33.2.tgz#3ea4563bfd015ad4e4b52442865b02c62aba5085"
integrity sha512-axfo+wxFVxnqf8RvxTzoAlzW4gRoacrHeoFlc9n0x50+7BEyZL/Rt3hicaED1/CEd7I6tPCPVUYcJwCMO5XUYw==
version "3.33.3"
resolved "https://registry.yarnpkg.com/core-js-compat/-/core-js-compat-3.33.3.tgz#ec678b772c5a2d8a7c60a91c3a81869aa704ae01"
integrity sha512-cNzGqFsh3Ot+529GIXacjTJ7kegdt5fPXxCBVS1G0iaZpuo/tBz399ymceLJveQhFFZ8qThHiP3fzuoQjKN2ow==
dependencies:
browserslist "^4.22.1"
core-js-pure@^3.30.2:
version "3.33.2"
resolved "https://registry.yarnpkg.com/core-js-pure/-/core-js-pure-3.33.2.tgz#644830db2507ef84d068a70980ccd99c275f5fa6"
integrity sha512-a8zeCdyVk7uF2elKIGz67AjcXOxjRbwOLz8SbklEso1V+2DoW4OkAMZN9S9GBgvZIaqQi/OemFX4OiSoQEmg1Q==
version "3.33.3"
resolved "https://registry.yarnpkg.com/core-js-pure/-/core-js-pure-3.33.3.tgz#cbf9180ac4c4653823d784862bfb5c77eac0bf98"
integrity sha512-taJ00IDOP+XYQEA2dAe4ESkmHt1fL8wzYDo3mRWQey8uO9UojlBFMneA65kMyxfYP7106c6LzWaq7/haDT6BCQ==
core-js@^2.4.1:
version "2.6.12"
resolved "https://registry.yarnpkg.com/core-js/-/core-js-2.6.12.tgz#d9333dfa7b065e347cc5682219d6f690859cc2ec"
integrity sha512-Kb2wC0fvsWfQrgk8HU5lW6U/Lcs8+9aaYcy4ZFc6DDlo4nZ7n70dEgE5rtR0oG6ufKDUnrwfWL1mXR5ljDatrQ==
core-js@^3.23.3:
version "3.33.2"
resolved "https://registry.yarnpkg.com/core-js/-/core-js-3.33.2.tgz#312bbf6996a3a517c04c99b9909cdd27138d1ceb"
integrity sha512-XeBzWI6QL3nJQiHmdzbAOiMYqjrb7hwU7A39Qhvd/POSa/t9E1AeZyEZx3fNvp/vtM8zXwhoL0FsiS0hD0pruQ==
core-js@^3.23.3, core-js@^3.32.1:
version "3.33.3"
resolved "https://registry.yarnpkg.com/core-js/-/core-js-3.33.3.tgz#3c644a323f0f533a0d360e9191e37f7fc059088d"
integrity sha512-lo0kOocUlLKmm6kv/FswQL8zbkH7mVsLJ/FULClOhv8WRVmKLVcs6XPNQAzstfeJTCHMyButEwG+z1kHxHoDZw==
core-util-is@~1.0.0:
version "1.0.3"
@ -4003,7 +4025,7 @@ debug@2.6.9, debug@^2.6.0:
dependencies:
ms "2.0.0"
debug@4, debug@^4.1.0, debug@^4.1.1:
debug@4, debug@^4.1.0, debug@^4.1.1, debug@^4.3.1:
version "4.3.4"
resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.4.tgz#1319f6579357f2338d3337d2cdd4914bb5dcc865"
integrity sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==
@ -4314,9 +4336,9 @@ ee-first@1.1.1:
integrity sha512-WMwm9LhRUo+WUaRN+vRuETqG89IgZphVSNkdFgeb6sS/E4OrDIN7t48CAewSHXc6C8lefD8KKfr5vY61brQlow==
electron-to-chromium@^1.4.535:
version "1.4.588"
resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.588.tgz#d553f3c008e73488fb181fdf2601fdb0b1ffbb78"
integrity sha512-soytjxwbgcCu7nh5Pf4S2/4wa6UIu+A3p03U2yVr53qGxi1/VTR3ENI+p50v+UxqqZAfl48j3z55ud7VHIOr9w==
version "1.4.589"
resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.589.tgz#3fc83c284ed8f1f58e0cb3c664c8ebcb4d0b42fb"
integrity sha512-zF6y5v/YfoFIgwf2dDfAqVlPPsyQeWNpEWXbAlDUS8Ax4Z2VoiiZpAPC0Jm9hXEkJm2vIZpwB6rc4KnLTQffbQ==
elkjs@^0.8.2:
version "0.8.2"
@ -4816,6 +4838,11 @@ get-own-enumerable-property-symbols@^3.0.0:
resolved "https://registry.yarnpkg.com/get-own-enumerable-property-symbols/-/get-own-enumerable-property-symbols-3.0.2.tgz#b5fde77f22cbe35f390b4e089922c50bce6ef664"
integrity sha512-I0UBV/XOz1XkIJHEUDMZAbzCThU/H8DxmSfmdGcKPnVhu2VfFqr34jr9777IyaTYvxjedWhqVIilEDsCdP5G6g==
get-port-please@^3.0.1:
version "3.1.1"
resolved "https://registry.yarnpkg.com/get-port-please/-/get-port-please-3.1.1.tgz#2556623cddb4801d823c0a6a15eec038abb483be"
integrity sha512-3UBAyM3u4ZBVYDsxOQfJDxEa6XTbpBDrOjp4mf7ExFRt5BKs/QywQQiJsh2B+hxcZLSapWqCRvElUe8DnKcFHA==
get-stream@^4.1.0:
version "4.1.0"
resolved "https://registry.yarnpkg.com/get-stream/-/get-stream-4.1.0.tgz#c1b255575f3dc21d59bfc79cd3d2b46b1c3a54b5"
@ -4985,6 +5012,18 @@ handle-thing@^2.0.0:
resolved "https://registry.yarnpkg.com/handle-thing/-/handle-thing-2.0.1.tgz#857f79ce359580c340d43081cc648970d0bb234e"
integrity sha512-9Qn4yBxelxoh2Ow62nP+Ka/kMnOXRi8BXnRaUwezLNhqelnN49xKz4F/dPP8OYLxLxq6JDtZb2i9XznUQbNPTg==
handlebars@^4.7.6:
version "4.7.8"
resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.8.tgz#41c42c18b1be2365439188c77c6afae71c0cd9e9"
integrity sha512-vafaFqs8MZkRrSX7sFVUdo3ap/eNiLnb4IakshzvP56X5Nr1iGKAIqdX6tMlm6HcNRIkr6AxO5jFEoJzzpT8aQ==
dependencies:
minimist "^1.2.5"
neo-async "^2.6.2"
source-map "^0.6.1"
wordwrap "^1.0.0"
optionalDependencies:
uglify-js "^3.1.4"
has-flag@^3.0.0:
version "3.0.0"
resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-3.0.0.tgz#b5d454dc2199ae225699f3467e5a07f3b955bafd"
@ -5773,11 +5812,16 @@ leven@^3.1.0:
resolved "https://registry.yarnpkg.com/leven/-/leven-3.1.0.tgz#77891de834064cccba82ae7842bb6b14a13ed7f2"
integrity sha512-qsda+H8jTaUaN/x5vzW2rzc+8Rw4TAQ/4KjB46IwK5VH+IlVeeeje/EoZRpiXvIqjFgK84QffqPztGI3VBLG1A==
lilconfig@^2.0.3, lilconfig@^2.0.5, lilconfig@^2.1.0:
lilconfig@^2.0.3, lilconfig@^2.1.0:
version "2.1.0"
resolved "https://registry.yarnpkg.com/lilconfig/-/lilconfig-2.1.0.tgz#78e23ac89ebb7e1bfbf25b18043de756548e7f52"
integrity sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==
lilconfig@^3.0.0:
version "3.0.0"
resolved "https://registry.yarnpkg.com/lilconfig/-/lilconfig-3.0.0.tgz#f8067feb033b5b74dab4602a5f5029420be749bc"
integrity sha512-K2U4W2Ff5ibV7j7ydLr+zLAkIg5JJ4lPn1Ltsdt+Tz/IjQ8buJ55pZAxoP34lqIiwtF9iAvtLv3JGv7CAyAg+g==
lines-and-columns@^1.1.6:
version "1.2.4"
resolved "https://registry.yarnpkg.com/lines-and-columns/-/lines-and-columns-1.2.4.tgz#eca284f75d2965079309dc0ad9255abb2ebc1632"
@ -6128,7 +6172,7 @@ mobx-react@^7.2.0:
dependencies:
mobx-react-lite "^3.4.0"
mobx@^6.10.2:
mobx@^6.0.4, mobx@^6.10.2:
version "6.11.0"
resolved "https://registry.yarnpkg.com/mobx/-/mobx-6.11.0.tgz#8a748b18c140892d1d0f28b71315f1f639180006"
integrity sha512-qngYCmr0WJiFRSAtYe82DB7SbzvbhehkJjONs8ydynUwoazzUQHZdAlaJqUfks5j4HarhWsZrMRhV7HtSO9HOQ==
@ -6740,12 +6784,12 @@ postcss-js@^4.0.1:
camelcase-css "^2.0.1"
postcss-load-config@^4.0.1:
version "4.0.1"
resolved "https://registry.yarnpkg.com/postcss-load-config/-/postcss-load-config-4.0.1.tgz#152383f481c2758274404e4962743191d73875bd"
integrity sha512-vEJIc8RdiBRu3oRAI0ymerOn+7rPuMvRXslTvZUKZonDHFIczxztIyJ1urxM1x9JXEikvpWWTUUqal5j/8QgvA==
version "4.0.2"
resolved "https://registry.yarnpkg.com/postcss-load-config/-/postcss-load-config-4.0.2.tgz#7159dcf626118d33e299f485d6afe4aff7c4a3e3"
integrity sha512-bSVhyJGL00wMVoPUzAVAnbEoWyqRxkjv64tUl427SKnPrENtq6hJwUojroMz2VB+Q1edmi4IfrAPpami5VVgMQ==
dependencies:
lilconfig "^2.0.5"
yaml "^2.1.1"
lilconfig "^3.0.0"
yaml "^2.3.4"
postcss-loader@^7.0.0:
version "7.3.3"
@ -7199,26 +7243,34 @@ react-dev-utils@^12.0.1:
strip-ansi "^6.0.1"
text-table "^0.2.0"
react-dom@^17.0.2:
version "17.0.2"
resolved "https://registry.yarnpkg.com/react-dom/-/react-dom-17.0.2.tgz#ecffb6845e3ad8dbfcdc498f0d0a939736502c23"
integrity sha512-s4h96KtLDUQlsENhMn1ar8t2bEa+q/YAtj8pPPdIjPDGBDIVNsrD9aXNWqspUe6AzKCIG0C1HZZLqLV7qpOBGA==
"react-dom@^17.0.0 || ^18.2.0", react-dom@^18.2.0:
version "18.2.0"
resolved "https://registry.yarnpkg.com/react-dom/-/react-dom-18.2.0.tgz#22aaf38708db2674ed9ada224ca4aa708d821e3d"
integrity sha512-6IMTriUmvsjHUjNtEDudZfuDQUoWXVxKHhlEGSk81n4YFS+r/Kl99wXiwlVXtPBtJenozv2P+hxDsw9eA7Xo6g==
dependencies:
loose-envify "^1.1.0"
object-assign "^4.1.1"
scheduler "^0.20.2"
scheduler "^0.23.0"
react-error-overlay@^6.0.11:
version "6.0.11"
resolved "https://registry.yarnpkg.com/react-error-overlay/-/react-error-overlay-6.0.11.tgz#92835de5841c5cf08ba00ddd2d677b6d17ff9adb"
integrity sha512-/6UZ2qgEyH2aqzYZgQPxEnz33NJ2gNsnHA2o5+o4wW9bLM/JYQitNP9xPhsXwC08hMMovfGe/8retsdDsczPRg==
react-fast-compare@^3.2.0:
react-fast-compare@^3.2.0, react-fast-compare@^3.2.2:
version "3.2.2"
resolved "https://registry.yarnpkg.com/react-fast-compare/-/react-fast-compare-3.2.2.tgz#929a97a532304ce9fee4bcae44234f1ce2c21d49"
integrity sha512-nsO+KSNgo1SbJqJEYRE9ERzo7YtYbou/OqjSQKxV7jcKox7+usiUVZOAC+XnDOABXggQTno0Y1CpVnuWEc1boQ==
react-helmet-async@*, react-helmet-async@^1.3.0:
react-helmet-async@*:
version "2.0.0"
resolved "https://registry.yarnpkg.com/react-helmet-async/-/react-helmet-async-2.0.0.tgz#730c07280fb1f2392768a780fa56058057137803"
integrity sha512-pYYyVtyNkPuCENuHZkIy8CWmlINWO3oeh8HCBAw80CY4+rOc/pJwGgay5EUMSGBy5ii123Q8rncKvi+Jpt1scw==
dependencies:
invariant "^2.2.4"
react-fast-compare "^3.2.2"
shallowequal "^1.1.0"
react-helmet-async@^1.3.0:
version "1.3.0"
resolved "https://registry.yarnpkg.com/react-helmet-async/-/react-helmet-async-1.3.0.tgz#7bd5bf8c5c69ea9f02f6083f14ce33ef545c222e"
integrity sha512-9jZ57/dAn9t3q6hneQS0wukqC2ENOBgMNVEhb/ZG9ZSxUetzVIw4iAmEU38IaVg3QGYauQPhSeUTuIUtFglWpg==
@ -7331,13 +7383,12 @@ react-textarea-autosize@^8.3.2:
use-composed-ref "^1.3.0"
use-latest "^1.2.1"
react@^17.0.2:
version "17.0.2"
resolved "https://registry.yarnpkg.com/react/-/react-17.0.2.tgz#d0b5cc516d29eb3eee383f75b62864cfb6800037"
integrity sha512-gnhPt75i/dq/z3/6q/0asP78D0u592D5L1pd7M8P+dck6Fu/jJeL6iVVK23fptSUZj8Vjf++7wXA8UNclGQcbA==
"react@^17.0.0 || ^18.2.0", react@^18.2.0:
version "18.2.0"
resolved "https://registry.yarnpkg.com/react/-/react-18.2.0.tgz#555bd98592883255fa00de14f1151a917b5d77d5"
integrity sha512-/3IjMdb2L9QbBdWiW5e3P2/npwMBaU9mHCSCUzNln0ZCYbcfTsGbTJrU/kGemdH2IWmB2ioZ+zkxtmq6g09fGQ==
dependencies:
loose-envify "^1.1.0"
object-assign "^4.1.1"
read-cache@^1.0.0:
version "1.0.0"
@ -7359,7 +7410,7 @@ readable-stream@^2.0.1, readable-stream@~2.3.6:
string_decoder "~1.1.1"
util-deprecate "~1.0.1"
readable-stream@^3.0.6:
readable-stream@^3.0.6, readable-stream@^3.6.0:
version "3.6.2"
resolved "https://registry.yarnpkg.com/readable-stream/-/readable-stream-3.6.2.tgz#56a9b36ea965c00c5a93ef31eb111a0f11056967"
integrity sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==
@ -7404,7 +7455,7 @@ recursive-readdir@^2.2.2:
dependencies:
minimatch "^3.0.5"
redoc@2.1.3:
redoc@2.1.3, redoc@~2.1.2:
version "2.1.3"
resolved "https://registry.yarnpkg.com/redoc/-/redoc-2.1.3.tgz#612c9fed744993d5fc99cbf39fe9056bd1034fa5"
integrity sha512-d7F9qLLxaiFW4GC03VkwlX9wuRIpx9aiIIf3o6mzMnqPfhxrn2IRKGndrkJeVdItgCfmg9jXZiFEowm60f1meQ==
@ -7752,13 +7803,12 @@ sax@^1.2.4:
resolved "https://registry.yarnpkg.com/sax/-/sax-1.3.0.tgz#a5dbe77db3be05c9d1ee7785dbd3ea9de51593d0"
integrity sha512-0s+oAmw9zLl1V1cS9BtZN7JAd0cW5e0QH4W3LWEK6a4LaLEA2OTpGYWDY+6XasBLtz6wkm3u1xRw95mRuJ59WA==
scheduler@^0.20.2:
version "0.20.2"
resolved "https://registry.yarnpkg.com/scheduler/-/scheduler-0.20.2.tgz#4baee39436e34aa93b4874bddcbf0fe8b8b50e91"
integrity sha512-2eWfGgAqqWFGqtdMmcL5zCMK1U8KlXv8SQFGglL3CEtd0aDVDWgeF/YoCmvln55m5zSk3J/20hTaSBeSObsQDQ==
scheduler@^0.23.0:
version "0.23.0"
resolved "https://registry.yarnpkg.com/scheduler/-/scheduler-0.23.0.tgz#ba8041afc3d30eb206a487b6b384002e4e61fdfe"
integrity sha512-CtuThmgHNg7zIZWAXi3AsyIzA3n4xx7aNyjwC2VJldO2LMVDhFK+63xGqq6CsJH4rTAt6/M+N4GhZiDYPx9eUw==
dependencies:
loose-envify "^1.1.0"
object-assign "^4.1.1"
schema-utils@2.7.0:
version "2.7.0"
@ -7835,7 +7885,7 @@ semver@^6.0.0, semver@^6.2.0, semver@^6.3.0, semver@^6.3.1:
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
semver@^7.3.2, semver@^7.3.4, semver@^7.3.7, semver@^7.3.8:
semver@^7.3.2, semver@^7.3.4, semver@^7.3.7, semver@^7.3.8, semver@^7.5.2:
version "7.5.4"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.5.4.tgz#483986ec4ed38e1c6c48c34894a9182dbff68a6e"
integrity sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==
@ -8026,6 +8076,17 @@ signal-exit@^3.0.2, signal-exit@^3.0.3:
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.7.tgz#a9a1767f8af84155114eaabd73f99273c8f59ad9"
integrity sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ==
simple-websocket@^9.0.0:
version "9.1.0"
resolved "https://registry.yarnpkg.com/simple-websocket/-/simple-websocket-9.1.0.tgz#91cbb39eafefbe7e66979da6c639109352786a7f"
integrity sha512-8MJPnjRN6A8UCp1I+H/dSFyjwJhp6wta4hsVRhjf8w9qBHRzxYt14RaOcjvQnhD1N4yKOddEjflwMnQM4VtXjQ==
dependencies:
debug "^4.3.1"
queue-microtask "^1.2.2"
randombytes "^2.1.0"
readable-stream "^3.6.0"
ws "^7.4.2"
sirv@^2.0.3:
version "2.0.3"
resolved "https://registry.yarnpkg.com/sirv/-/sirv-2.0.3.tgz#ca5868b87205a74bef62a469ed0296abceccd446"
@ -8257,7 +8318,7 @@ style-to-object@0.3.0, style-to-object@^0.3.0:
dependencies:
inline-style-parser "0.1.1"
styled-components@^6.1.0:
styled-components@^6.0.7, styled-components@^6.1.0:
version "6.1.1"
resolved "https://registry.yarnpkg.com/styled-components/-/styled-components-6.1.1.tgz#a5414ada07fb1c17b96a26a05369daa4e2ad55e5"
integrity sha512-cpZZP5RrKRIClBW5Eby4JM1wElLVP4NQrJbJ0h10TidTyJf4SIIwa3zLXOoPb4gJi8MsJ8mjq5mu2IrEhZIAcQ==
@ -8557,6 +8618,11 @@ ua-parser-js@^1.0.35:
resolved "https://registry.yarnpkg.com/ua-parser-js/-/ua-parser-js-1.0.37.tgz#b5dc7b163a5c1f0c510b08446aed4da92c46373f"
integrity sha512-bhTyI94tZofjo+Dn8SN6Zv8nBDvyXTymAdM3LDI/0IboIUwTu1rEhW7v2TfiVsoYWgkQ4kOVqnI8APUFbIQIFQ==
uglify-js@^3.1.4:
version "3.17.4"
resolved "https://registry.yarnpkg.com/uglify-js/-/uglify-js-3.17.4.tgz#61678cf5fa3f5b7eb789bb345df29afb8257c22c"
integrity sha512-T9q82TJI9e/C1TAxYvfb16xO120tMVFZrGA3f9/P4424DNu6ypK103y0GPFVa17yotwSyZW5iYXgjYHkGrJW/g==
undici-types@~5.26.4:
version "5.26.5"
resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-5.26.5.tgz#bcd539893d00b56e964fd2657a4866b221a65617"
@ -9066,6 +9132,11 @@ wildcard@^2.0.0:
resolved "https://registry.yarnpkg.com/wildcard/-/wildcard-2.0.1.tgz#5ab10d02487198954836b6349f74fff961e10f67"
integrity sha512-CC1bOL87PIWSBhDcTrdeLo6eGT7mCFtrg0uIJtqJUFyK+eJnzl8A1niH56uu7KMa5XFrtiV+AQuHO3n7DsHnLQ==
wordwrap@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/wordwrap/-/wordwrap-1.0.0.tgz#27584810891456a4171c8d0226441ade90cbcaeb"
integrity sha512-gvVzJFlPycKc5dZN4yPkP8w7Dc37BtP1yczEneOb4uq34pXZcvrtRTmWV8W+Ume+XCxKgbjM+nevkyFPMybd4Q==
wrap-ansi@^7.0.0:
version "7.0.0"
resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
@ -9099,7 +9170,7 @@ write-file-atomic@^3.0.0:
signal-exit "^3.0.2"
typedarray-to-buffer "^3.1.5"
ws@^7.3.1:
ws@^7.3.1, ws@^7.4.2:
version "7.5.9"
resolved "https://registry.yarnpkg.com/ws/-/ws-7.5.9.tgz#54fa7db29f4c7cec68b1ddd3a89de099942bb591"
integrity sha512-F+P9Jil7UiSKSkppIiD94dN07AwvFixvLIj1Og1Rl9GGMuNipJnV9JzjD6XuqmAeiswGvUmNLjr5cFuXwNS77Q==
@ -9151,7 +9222,7 @@ yaml@^1.10.0, yaml@^1.10.2, yaml@^1.7.2:
resolved "https://registry.yarnpkg.com/yaml/-/yaml-1.10.2.tgz#2301c5ffbf12b467de8da2333a459e29e7920e4b"
integrity sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==
yaml@^2.1.1:
yaml@^2.3.4:
version "2.3.4"
resolved "https://registry.yarnpkg.com/yaml/-/yaml-2.3.4.tgz#53fc1d514be80aabf386dc6001eb29bf3b7523b2"
integrity sha512-8aAvwVUSHpfEqTQ4w/KMlf3HcRdt50E5ODIQJBw1fQ5RL34xabzxtUlzTXVqc4rkZsPbvrXKWnABCD7kWSmocA==
@ -9166,6 +9237,19 @@ yargs-parser@^21.1.1:
resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-21.1.1.tgz#9096bceebf990d21bb31fa9516e0ede294a77d35"
integrity sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==
yargs@17.0.1:
version "17.0.1"
resolved "https://registry.yarnpkg.com/yargs/-/yargs-17.0.1.tgz#6a1ced4ed5ee0b388010ba9fd67af83b9362e0bb"
integrity sha512-xBBulfCc8Y6gLFcrPvtqKz9hz8SO0l1Ni8GgDekvBX2ro0HRQImDGnikfc33cgzcYUSncapnNcZDjVFIH3f6KQ==
dependencies:
cliui "^7.0.2"
escalade "^3.1.1"
get-caller-file "^2.0.5"
require-directory "^2.1.1"
string-width "^4.2.0"
y18n "^5.0.5"
yargs-parser "^20.2.2"
yargs@^16.1.0:
version "16.2.0"
resolved "https://registry.yarnpkg.com/yargs/-/yargs-16.2.0.tgz#1c82bf0f6b6a66eafce7ef30e376f49a12477f66"