vladimirrott/mojo-dllm
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
⚡ Executive Summary & Quick Facts
Authoritative Sourcemojo-dllm is mojo-dllm is an open-source project written in Python: Local inference for diffusion language models (LLaDA, Dream), written in Mojo..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), vladimirrott/mojo-dllm has accumulated 506 GitHub stars and 6 forks. It is written in Python, licensed under Apache-2.0, and ranks #12,289 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
| Repository | vladimirrott/mojo-dllm ↗ |
|---|---|
| Primary Category | cpu |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 506 stars · ⑂ 6 forks · #12,289 globally |
| Maintenance | ● Active (Last commit: Nov 10, 2026) · 129 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: 93/100 · Grade A+Yes, mojo-dllm is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (3 days ago). Supported by 506 stars and 6 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+13
STARS · LAST 30 DAYS
1
PER DAY
#1,663
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +13 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
mojo-dllm gained 13 stars in the last 30 days, about 1 a day, and now has 506. It is about 1 year old and has averaged roughly 506 stars a year. It ranks #1,663 among Python repositories and #12,289 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#14545
BEST RANK
Nov 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mojo-dllm has maintained a continuous presence across global trending indexes, peaking at #14545. Below is the 30-day activity profile:
💡 Overview
mojo-dllm is an open-source project written in Python: Local inference for diffusion language models (LLaDA, Dream), written in Mojo.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cpu, diffusion-models, gguf. 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 mojo-dllm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mojo-dllm 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mojo-dllm.
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.
🚀 Getting Started
Install mojo-dllm using your package manager: `pip install mojo-dllm`
Initialize your project workspace or configuration file for mojo-dllm.
Import mojo-dllm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mojo-dllm --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
vladimirrott/mojo-dllm is currently ranked #12,289 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,278 | ozontech/file.d | Go | ★ 507 | Compare ↗ |
| #12,278 | official-stockfish/nnue-pytorch | Python | ★ 507 | Compare ↗ |
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| #12,278 | OpenGeometry-io/OpenGeometry | Rust | ★ 507 | Compare ↗ |
| #12,278 | Chethan616/Artefact | Rust | ★ 507 | Compare ↗ |
| #12,289 | vladimirrott/mojo-dllm This Project | Python | ★ 506 | |
| #12,289 | jOOQ/jOOX | Java | ★ 506 | Compare ↗ |
| #12,289 | NeoRazorX/facturascripts | PHP | ★ 506 | Compare ↗ |
| #12,289 | jchambers/java-otp | Java | ★ 506 | Compare ↗ |
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Frequently Asked Questions
What does mojo-dllm do? +
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
Is mojo-dllm actively maintained in 2026? +
Yes, mojo-dllm is actively maintained. The latest code push was recorded on Nov 10, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 506 stars and 129 open issues.
What language is mojo-dllm written in? +
The primary language is Python. Topics include: cpu, diffusion-models, gguf, inference, llada.
How many stars does mojo-dllm have? +
mojo-dllm has 506 stars and 6 forks on GitHub.
How does mojo-dllm rank among GitHub repositories? +
With 506 stars, vladimirrott/mojo-dllm is ranked #12,289 globally across all repositories tracked on GitHubRepo and #1,663 among Python projects.
What license is mojo-dllm distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
