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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Gavin Li

    Gavin Li

    Democratizing high-tier AI by enabling large language model inference on consumer-grade hardware and building advanced 2D game animation AI.

    Visit Website

    At a Glance

    1Tool Listed
    2Products
    5Capabilities
    Discussions
    Bay Area, CaliforniaHeadquarters
    2023Est.
    1Employee
    Focus Areas
    Local Inference
    AI Development Libraries
    AI Infrastructure
    Connect
    Latest News
    AirLLM: Democratizing high-tier AI with 16k+ stars on GitHubAug 1, 2024
    Running 405B parameter models on a single 8GB gaming GPU with AirLLMMar 1, 2024

    AI Tools by Gavin Li

    (1)
    View AirLLM
    AirLLM tool icon

    AirLLM

    Run Large LLMs Low VRAM

    Local InferenceAI Dev LibrariesAI Infrastructure

    Discussions

    No discussions yet

    Be the first to start a discussion about Gavin Li

    Latest News

    08/01/2024

    AirLLM: Democratizing high-tier AI with 16k+ stars on GitHub

    GitHub / LinkedIn
    03/01/2024

    Running 405B parameter models on a single 8GB gaming GPU with AirLLM

    Gavin Li Blog / X
    10/01/2023

    Release of AirLLM for 70B inference on 4GB GPUs

    Hugging Face / GitHub

    Products & Services

    2
    AirLLM
    2023-10

    An open-source library that enables 70B and 405B large language model inference on a single 4GB or 8GB consumer GPU using layer-wise inference.

    GodModeAnimation
    2024

    A 2D game animation AI tool designed to generate high-quality animations for game development.

    Market Position

    Gavin Li's projects, particularly AirLLM, occupy a unique niche in AI optimization, competing with high-end cloud providers and specialized inference engines by offering a way to run massive models on minimal hardware.

    Leadership

    Founders

    GL

    Gavin Li

    Founder & CEO of Anima AI. Former Senior Staff Engineer and Tech Lead of AI Customer Support at Airbnb. Former Director of Machine Learning at Alibaba.com, leading a team of 120+ engineers. AI Advisor for YINGMI Wealth Mgmt.

    Executive Team

    GL

    Gavin Li

    Founder and CEO

    Extensive experience in AI leadership at Airbnb and Alibaba. Specialist in large-scale AI systems and model optimization.

    Founding Story

    Gavin Li started his independent work and blog to address the high hardware barriers of running large language models, aiming to make AI accessible to hobbyists and developers without expensive cloud infrastructure.

    Business Model

    Revenue Model

    Open-source distribution with community support via Patreon; commercial AI services and tools via Anima AI.

    Pricing Tiers

    Patreon Support
    Varies

    Support for continued development of open-source projects like AirLLM.

    Target Markets

    Use Cases
    • Local LLM inference
    • Game development animation
    • Cost-effective AI development
    • Hobbyist AI experimentation

    Quick Facts

    Headquarters
    Bay Area, California
    Founded
    2023
    Employees
    1

    History & Milestones

    2024-03

    Updated AirLLM to support 405B parameter models on consumer-grade GPUs (8GB).

    2024-08

    AirLLM reaches over 16,000 stars on GitHub.

    2023-02

    Founded Anima AI and started independent AI research and development.

    2023-10

    Released AirLLM, an open-source project to democratize high-tier AI inference on consumer hardware.

    Key Capabilities

    5
    Layer-wise inference for large models
    70B and 405B model support on consumer GPUs
    4GB/8GB GPU compatibility
    Quantization-free performance maintenance
    2D game animation generation

    Integrations & Partnerships

    Platform Integrations

    • Hugging Face
    • PyTorch

    Connect

    Website
    gavinliblog.com
    GitHub
    lyogavin
    Discord
    2xffU5sn

    AI Topics

    3

    Gavin Li focuses on these topics:

    Local Inference(1)
    AI Development Libraries(1)
    AI Infrastructure(1)
    Back to all developersSuggest an edit