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--- | ||
title: Installation | ||
description: Cortex Installation | ||
slug: "installation" | ||
--- | ||
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import Tabs from '@theme/Tabs'; | ||
import TabItem from '@theme/TabItem'; | ||
import Admonition from '@theme/Admonition'; | ||
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:::warning | ||
🚧 Cortex.cpp is currently under development. Our documentation outlines the intended behavior of Cortex, which may not yet be fully implemented in the codebase. | ||
::: | ||
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## Cortex.cpp Installation | ||
### Cortex.cpp offers four installer types | ||
- Network Installers download a minimal system and require an internet connection to fetch packages during installation. | ||
- Local Installers include all necessary packages, enabling offline installation without internet access. | ||
- Dockerfile Installers are used to build a Docker image for Cortex. | ||
- Binary files without package management. | ||
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### Cortex.cpp supports three channels | ||
- Stable: The latest stable release on github. | ||
- Beta: The release candidate for the next stable release, available on github release with the tag `vx.y.z-rc1` | ||
- Nightly: The nightly build of the latest code on dev branch, available on [discord](https://discord.com/channels/1107178041848909847/1283654073488379904). | ||
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### Download URLs | ||
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| Type | Version | Operating System | Download Link | | ||
|----------|---------------|------------------|---------------------------------------------------------------------------------------------------| | ||
| **Local** | **Stable** | **Windows** | [Download](https://app.cortexcpp.com/download/latest/windows-amd64-local) | | ||
| **Local** | **Stable** | **Linux** | [Download](https://app.cortexcpp.com/download/latest/linux-amd64-local) | | ||
| **Local** | **Stable** | **MacOS** | [Download](https://app.cortexcpp.com/download/latest/mac-universal-local) | | ||
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:::info | ||
For other versions, please look at [cortex.cpp repo](https://github.com/janhq/cortex.cpp) or each installer page. | ||
::: | ||
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## Minimum Requirements | ||
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### OS | ||
- MacOS 12 or later | ||
- Windows 10 or later | ||
- Linux: Ubuntu 20.04 or later, Debian 11 or later (For other distributions, please use the Dockerfile installer or binary files, we have not tested on other distributions yet.) | ||
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### Hardware | ||
#### CPU | ||
:::info | ||
- Cortex.cpp supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). | ||
- We support older processors with AVX, AVX-512 and non-AVX, though this is not recommended. | ||
::: | ||
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##### Intel CPU | ||
- Haswell processors (Q2 2013) and newer. | ||
- Tiger Lake (Q3 2020) and newer for Celeron and Pentium processors. | ||
##### AMD CPU | ||
- Excavator processors (Q2 2015) and newer. | ||
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#### RAM | ||
:::info | ||
We support DDR2 RAM as the minimum requirement but recommend using newer generations of RAM for improved performance. | ||
::: | ||
- 8GB for running up to 3B models (int4). | ||
- 16GB for running up to 7B models (int4). | ||
- 32GB for running up to 13B models (int4). | ||
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#### GPU | ||
:::info | ||
Having at least 6GB VRAM when using NVIDIA, AMD, or Intel Arc GPUs is recommended. | ||
::: | ||
- 6GB can load the 3B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. | ||
- 8GB can load the 7B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. | ||
- 12GB can load the 13B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. | ||
:::info | ||
- [NVIDIA driver](https://www.nvidia.com/Download/index.aspx) version 470.63.01 or higher. | ||
*Note: Users must install the driver by themselves.* | ||
- [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit) version 12.0 or higher. *Note: Cortex.cpp will automatically detect and install the required version of cudart to the user's machine.* | ||
::: | ||
#### Disk | ||
- At least 10GB for app storage and model download. |
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