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b4rtaz/distributed-llama

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

★3.1KSTARS
⑂257FORKS
!48ISSUES
🏆#4,185GLOBAL RANK
🔥25DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

distributed-llama is distributed-llama is an open-source project written in C++: Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), b4rtaz/distributed-llama has accumulated 3,109 GitHub stars and 257 forks. It is written in C++, licensed under MIT, and ranks #4,185 globally. It is actively maintained with the latest commit recorded on Oct 14, 2026.”
Repository b4rtaz/distributed-llama ↗
Primary Category distributed computing
Language & Stack C++
Software License MIT
Community Traction ★ 3.1K stars · ⑂ 257 forks · #4,185 globally
Maintenance ● Active (Last commit: Oct 14, 2026) · 48 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is distributed-llama actively maintained in 2026?
Verdict: Actively Maintained

Yes, distributed-llama is actively maintained. Continuous telemetry recorded the last code commit on Oct 14, 2026 (29 days ago). Supported by 3,109 stars and 257 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (29 days ago) and healthy issue cadence.

Commit Recency
Oct 14, 2026
29 days since last push
Issue Backlog
48 Open Issues
Healthy Issue Cadence
Community Backing
257 Forks
3.1K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for b4rtaz/distributed-llama
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Momentum

+78

STARS · LAST 30 DAYS

3

PER DAY

#305

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+78+270
Per day133
Forks gained+0+5+13

distributed-llama gained 78 stars in the last 30 days, about 3 a day, and now has 3.1K. It is about 3 years old and has averaged roughly 1K stars a year. It ranks #305 among C++ repositories and #4,185 across all languages on GitHubRepo.

Trending Record

distributed-llama has maintained a continuous presence across global trending indexes, peaking at #5463. Below is the 30-day activity profile:

💡 Overview

distributed-llama is an open-source project written in C++: Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Engineered for speed, consistency, and developer ease, it solves common hurdles in distributed-computing, distributed-llm, llama2. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/b4rtaz/distributed-llama.git
cd distributed-llama

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

distributed-llama coordinates its core functionality through a modular C++ 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 distributed-llama.

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

1

Install distributed-llama using your package manager: `git clone https://github.com/b4rtaz/distributed-llama.git`

2

Initialize your project workspace or configuration file for distributed-llama.

3

Import distributed-llama into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `distributed-llama --help` to verify successful setup.

👍 Strengths

Active community backing with 3,109 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

T
tensorflow/tensorflow ★ 201.6K C++

An Open Source Machine Learning Framework for Everyone

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L
ggml-org/llama.cpp ★ 134.2K C++

LLM inference in C/C++

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R
react/react-native ★ 126.8K C++

A framework for building native applications using React

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electron/electron ★ 123.8K C++

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

b4rtaz/distributed-llama is currently ranked #4,185 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does distributed-llama do? +

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Is distributed-llama actively maintained in 2026? +

Yes, distributed-llama is actively maintained. The latest code push was recorded on Oct 14, 2026 (29 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 3,109 stars and 48 open issues.

What language is distributed-llama written in? +

The primary language is C++. Topics include: distributed-computing, distributed-llm, llama2, llama3, llm.

How many stars does distributed-llama have? +

distributed-llama has 3,109 stars and 257 forks on GitHub.

How does distributed-llama rank among GitHub repositories? +

With 3,109 stars, b4rtaz/distributed-llama is ranked #4,185 globally across all repositories tracked on GitHubRepo and #305 among C++ projects.

What license is distributed-llama distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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