GStars
    Lightning-AI

    Lightning-AI/litgpt

    20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

    ai
    deep-learning
    llm
    artificial-intelligence
    large-language-models
    llm-inference
    llms
    Python
    Apache-2.0
    13.8K stars
    1.5K forks
    13.8K GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 129 days ago, with 134 contributors on GitHub.

    Use Cases & Benefits

    • Provides implementations and recipes to pretrain, finetune, and deploy over 20 high-performance large language models (LLMs) at scale.
    • Delivers no-abstraction, from-scratch LLM implementations optimized for speed, memory efficiency, and enterprise-scale training and inference.
    • Use for fine-tuning pretrained LLMs on custom datasets to specialize models for domain-specific NLP tasks.
    • Use for pretraining or continued pretraining of LLMs on large or custom text corpora to build foundational language models.
    • Use for deploying LLMs as scalable inference APIs with optimized performance on GPUs or TPUs for real-time applications.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    20+ high-performance LLMs with recipes to pretrain, finetune, and deploy at scale.

    Over 340,000 developers use Lightning Cloud - purpose-built for PyTorch and PyTorch Lightning.

    Every LLM is implemented from scratch with no abstractions and full control, making them blazing fast, minimal, and performant at enterprise scale.

    ✅ Enterprise ready - Apache 2.0 for unlimited enterprise use. ✅ Developer friendly - Easy debugging with no abstraction layers and single file implementations. ✅ Optimized performance - Models designed to maximize performance, reduce costs, and speed up training. ✅ Proven recipes - Highly-optimized training/finetuning recipes tested at enterprise scale.

    Excerpt from the Lightning-AI/litgpt README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.5K+61

    Open issues

    332+60

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    View category →
    Lightning-AI/litgpt compared with AI repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    D4Vinci/Scrapling101.1K+6.3K756 days ago
    thedotmack/claude-mem115.8K+4.7K75today
    heygen-com/hyperframes82.3K+4.0K75today
    harry0703/MoneyPrinterTurbo142.0K+3.8K753 days ago
    github/spec-kit149.2K+2.6K75today
    Lightning-AI/litgpt13.8K—58129 days ago
    Category median115.8K+4.0K75—
    Compare litgpt with Scrapling, claude-mem, hyperframes →

    Discover Repositories

    Search across tracked repositories by name or description