turboderp-org/exllamav3
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
⚡ Executive Summary & Quick Facts
Authoritative Sourceexllamav3 is exllamav3 is an open-source project written in Python: An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs ..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), turboderp-org/exllamav3 has accumulated 1,699 GitHub stars and 256 forks. It is written in Python, licensed under MIT, and ranks #5,347 globally. It is actively maintained with the latest commit recorded on Oct 18, 2026.”
| Repository | turboderp-org/exllamav3 ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 1.7K stars · ⑂ 256 forks · #5,347 globally |
| Maintenance | ● Active (Last commit: Oct 18, 2026) · 75 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, exllamav3 is actively maintained. Continuous telemetry recorded the last code commit on Oct 18, 2026 (12 days ago). Supported by 1,699 stars and 256 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+42
STARS · LAST 30 DAYS
1
PER DAY
#735
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +42 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +5 | +13 |
exllamav3 gained 42 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 2 years old and has averaged roughly 850 stars a year. It ranks #735 among Python repositories and #5,347 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#7113
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
exllamav3 has maintained a continuous presence across global trending indexes, peaking at #7113. Below is the 30-day activity profile:
💡 Overview
exllamav3 is an open-source project written in Python: An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs .
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install exllamav3⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
exllamav3 coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed exllamav3 into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install exllamav3 using your package manager: `pip install exllamav3`
Initialize your project workspace or configuration file for exllamav3.
Import exllamav3 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `exllamav3 --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
turboderp-org/exllamav3 is currently ranked #5,347 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,342 | woelper/oculante | Rust | ★ 1.7K | Compare ↗ |
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| #5,346 | LiteLDev/LeviLamina | C++ | ★ 1.7K | Compare ↗ |
| #5,347 | turboderp-org/exllamav3 This Project | Python | ★ 1.7K | |
| #5,347 | pytest-dev/pluggy | Python | ★ 1.7K | Compare ↗ |
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Frequently Asked Questions
What does exllamav3 do? +
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
Is exllamav3 actively maintained in 2026? +
Yes, exllamav3 is actively maintained. The latest code push was recorded on Oct 18, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,699 stars and 75 open issues.
What language is exllamav3 written in? +
The primary language is Python. Topics include: software.
How many stars does exllamav3 have? +
exllamav3 has 1,699 stars and 256 forks on GitHub.
How does exllamav3 rank among GitHub repositories? +
With 1,699 stars, turboderp-org/exllamav3 is ranked #5,347 globally across all repositories tracked on GitHubRepo and #735 among Python projects.
What license is exllamav3 distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
