logo
Free, unlimited AI code reviews that run on commit
git-lrc git-lrc GitHub Install Now We'd appreciate a star git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt
How to install deepseek-ai/FlashMLA. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.

deepseek-ai/FlashMLA Installation Guide

How to install deepseek-ai/FlashMLA. Official project installation instructions and setup guide.

Automated Install (Recommended)

Quick installation instructions for deepseek-ai/FlashMLA. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i deepseek-ai/FlashMLA
or

Install via npx

npx @hexmos/ipm i deepseek-ai/FlashMLA

Prerequisites

Python

language

Version: >=3.6.0

pip

package_manager

Package installer for Python.

git

system_tool

Version: 2.30.1

CUDA

system_package

Compute capability for NVIDIA GPUs.

Manual Installation Methods

Manual installation instructions. How to install from GitHub source.

Clone Repository and Install Dependencies

git clone https://github.com/deepseek-ai/FlashMLA.git

cd flash-mla

git submodule update --init --recursive

pip install -v . 

Post Installation Steps

  • Run the following command to start the server: `python -m flash_mla`
  • To access the model, use the provided API endpoint (e.g., `http://localhost:8000/predict`) or the UI.