ModelsLab / LTX-Q8-Kernels-build-ada

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Model's Last Updated: July 25 2025

Introduction of LTX-Q8-Kernels-build-ada

Model Details of LTX-Q8-Kernels-build-ada

LTX-Q8-Kernels Pre-built Wheel

This repository contains pre-built wheel files for the LTX-Q8-Kernels to avoid the need for building on SM89 instances with Python 3.11.

Quick Install

Instead of building the kernels from source (which requires SM89 compute capability), you can directly install the pre-built wheel:

pip install https://huggingface.co/ModelsLab/LTX-Q8-Kernels-build-ada/resolve/main/q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl
Requirements
  • Python : 3.11
  • Platform : Linux x86_64
  • CUDA : Compatible CUDA installation
  • Architecture : Built for Ada Lovelace (RTX 40 series) and compatible GPUs
Usage

After installation, you can import and use the kernels in your LTX-Video projects:

import q8_kernels
# Your LTX-Video code here
Benefits
  • No SM89 Build Requirements : Skip the complex build process that requires specific GPU compute capabilities
  • Faster Setup : Direct installation without compilation time
  • Pre-optimized : Built with optimal settings for Ada Lovelace architecture
Compatibility

This wheel is specifically built for:

  • Python 3.11 ( cp311-cp311 )
  • Linux x86_64 systems
  • Ada Lovelace GPU architecture (RTX 4090, RTX 4080, etc.)
Alternative Installation Methods
From Hugging Face Hub
# Using huggingface_hub
pip install huggingface_hub
python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='ModelsLab/LTX-Q8-Kernels-build-ada', filename='q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl', local_dir='.')"
pip install q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl
Download and Install
wget https://huggingface.co/ModelsLab/LTX-Q8-Kernels-build-ada/resolve/main/q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl
pip install q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl
Troubleshooting

If you encounter issues:

  1. Verify Python version : python --version should show 3.11.x
  2. Check platform : This wheel only works on Linux x86_64
  3. CUDA compatibility : Ensure you have a compatible CUDA installation
  4. GPU support : Verify your GPU supports the required compute capability
Building from Source (Alternative)

If you need to build from source or for different architectures, refer to the main LTX-Video repository for build instructions.

Version Information
  • Package Version : 0.0.5
  • Python : 3.11
  • Platform : linux_x86_64
  • Build Target : Ada Lovelace (SM89)
License

This package follows the same license as the original LTX-Video project.

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LTX-Q8-Kernels-build-ada is an open source model from GitHub that offers a free installation service, and any user can find LTX-Q8-Kernels-build-ada on GitHub to install. At the same time, huggingface.co provides the effect of LTX-Q8-Kernels-build-ada install, users can directly use LTX-Q8-Kernels-build-ada installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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