V100 / SM70-focused vLLM engineering fork for modern LLM inference.
Star History
Momentum
+29
STARS · LAST 30 DAYS
1
PER DAY
#313
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +29 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +5 | +11 |
1Cat-vLLM gained 29 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 1 year old and has averaged roughly 1.2K stars a year. It ranks #313 among Python repositories and #2,496 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2363
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
1Cat-vLLM has maintained a continuous presence across global trending indexes, peaking at #2363. Below is the 30-day activity profile:
💡 Overview
1Cat-vLLM is an open-source project written in Python: V100 / SM70-focused vLLM engineering fork for modern LLM inference.
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 1Cat-vLLM⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
1Cat-vLLM 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 1Cat-vLLM 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 Apache-2.0 license.
🚀 Getting Started
Install 1Cat-vLLM using your package manager: `pip install 1Cat-vLLM`
Initialize your project workspace or configuration file for 1Cat-vLLM.
Import 1Cat-vLLM into your codebase or invoke it directly from your terminal.
Execute your test suite or run `1Cat-vLLM --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
1CatAI/1Cat-vLLM is currently ranked #2,496 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #2,496 | 1CatAI/1Cat-vLLM This Project | Python | ★ 1.2K | |
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Frequently Asked Questions
What does 1Cat-vLLM do? +
V100 / SM70-focused vLLM engineering fork for modern LLM inference.
What language is 1Cat-vLLM written in? +
The primary language is Python. Topics include: software.
Is 1Cat-vLLM actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 121 open issues being tracked.
How many stars does 1Cat-vLLM have? +
1Cat-vLLM has 1,167 stars and 227 forks on GitHub.
How does 1Cat-vLLM rank among GitHub repositories? +
With 1,167 stars, 1CatAI/1Cat-vLLM is ranked #2,496 globally across all repositories tracked on GitHubRepo and #313 among Python projects.
What license is 1Cat-vLLM distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
