NVIDIA-NeMo/Automodel
๐ Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
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+25
STARS ยท LAST 30 DAYS
1
PER DAY
#556
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +25 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +3 | +6 | +16 |
Automodel gained 25 stars in the last 30 days, about 1 a day, and now has 987. It is about 1 year old and has averaged roughly 987 stars a year. It ranks #556 among Python repositories and #4,211 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#830
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Automodel has maintained a continuous presence across global trending indexes, peaking at #830. Below is the 30-day activity profile:
๐ก Overview
Automodel is an open-source project written in Python: ๐ Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, deepseek-v4, deepseek-v4-flash. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก 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.
๐ฅ Installation
$ pip install Automodelโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
Automodel 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.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Automodel.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
๐ Getting Started
Install Automodel using your package manager: `pip install Automodel`
Initialize your project workspace or configuration file for Automodel.
Import Automodel into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Automodel --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
NVIDIA-NeMo/Automodel is currently ranked #4,211 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,204 | reactiveui/splat | C# | โ 991 | Compare โ |
| #4,204 | nkallen/cache-money | Ruby | โ 991 | Compare โ |
| #4,208 | SimonHalvdansson/Harmonic-HN | Kotlin | โ 990 | Compare โ |
| #4,208 | camping/camping | Ruby | โ 990 | Compare โ |
| #4,210 | getsentry/sentry-ruby | Ruby | โ 989 | Compare โ |
| #4,211 | NVIDIA-NeMo/Automodel This Project | Python | โ 987 | |
| #4,211 | linagora/twake-drive | JavaScript | โ 987 | Compare โ |
| #4,211 | messense/jieba-rs | Rust | โ 987 | Compare โ |
| #4,214 | Alex4SSB/ADB-Explorer | C# | โ 986 | Compare โ |
| #4,214 | rsl/stringex | Ruby | โ 986 | Compare โ |
| #4,214 | spring-projects/spring-tools | Java | โ 986 | Compare โ |
Frequently Asked Questions
What does Automodel do? +
๐ Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
What language is Automodel written in? +
The primary language is Python. Topics include: agent, deepseek-v4, deepseek-v4-flash, finetuning, gemma3.
Is Automodel actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 438 open issues being tracked.
How many stars does Automodel have? +
Automodel has 987 stars and 323 forks on GitHub.
How does Automodel rank among GitHub repositories? +
With 987 stars, NVIDIA-NeMo/Automodel is ranked #4,211 globally across all repositories tracked on GitHubRepo and #556 among Python projects.
What license is Automodel distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
