engeldlgado/toshllm
Run large language models locally on Intel Macs with AMD GPUs - native macOS app with Metal acceleration
⚡ Executive Summary & Quick Facts
Authoritative Sourcetoshllm is toshllm is an open-source project written in Swift: Run large language models locally on Intel Macs with AMD GPUs - native macOS app with Metal acceleration..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), engeldlgado/toshllm has accumulated 255 GitHub stars and 30 forks. It is written in Swift, licensed under GPL-3.0, and ranks #17,248 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | engeldlgado/toshllm ↗ |
|---|---|
| Primary Category | amd gpu |
| Language & Stack | Swift |
| Software License | GPL-3.0 |
| Community Traction | ★ 255 stars · ⑂ 30 forks · #17,248 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 20 open issues |
| Target Audience | Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, toshllm is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 255 stars and 30 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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+52
STARS · LAST 30 DAYS
2
PER DAY
#700
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +52 | +52 | +180 |
| Per day | 7 | 2 | 2 |
| Forks gained | +8 | +8 | +10 |
toshllm gained 52 stars in the last 30 days, about 2 a day, and now has 255. It is about 1 year old and has averaged roughly 255 stars a year. It ranks #700 among Swift repositories and #17,248 across all languages on GitHubRepo.
Trending Record
46
DAYS ON TRENDING
#552
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
toshllm has maintained a continuous presence across global trending indexes, peaking at #552. Below is the 30-day activity profile:
💡 Overview
toshllm is an open-source project written in Swift: Run large language models locally on Intel Macs with AMD GPUs - native macOS app with Metal acceleration.
Engineered for speed, consistency, and developer ease, it solves common hurdles in amd-gpu, hackintosh, intel-mac. 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 Swift 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
$ git clone https://github.com/engeldlgado/toshllm.git
cd toshllm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Swift 5.9+ / Xcode 15+ (macOS/Linux)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
toshllm coordinates its core functionality through a modular Swift 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 toshllm.
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 toshllm using your package manager: `git clone https://github.com/engeldlgado/toshllm.git`
Initialize your project workspace or configuration file for toshllm.
Import toshllm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `toshllm --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
engeldlgado/toshllm is currently ranked #17,248 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #17,219 | PommeMC/Client | Rust | ★ 256 | Compare ↗ |
| #17,219 | socai-io/socai | Rust | ★ 256 | Compare ↗ |
| #17,219 | firesahc/Xposed-GodMode-Pro | Java | ★ 256 | Compare ↗ |
| #17,219 | hasso5703/alzeo | Python | ★ 256 | Compare ↗ |
| #17,219 | SAINTTaiYi/SpektraLab-Android | Java | ★ 256 | Compare ↗ |
| #17,248 | engeldlgado/toshllm This Project | Swift | ★ 255 | |
| #17,248 | auxesis/cucumber-nagios | Ruby | ★ 255 | Compare ↗ |
| #17,248 | SparkViewEngine/spark | C# | ★ 255 | Compare ↗ |
| #17,248 | jcomellas/getopt | Erlang | ★ 255 | Compare ↗ |
| #17,248 | simonw/djangode | JavaScript | ★ 255 | Compare ↗ |
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Frequently Asked Questions
What does toshllm do? +
Run large language models locally on Intel Macs with AMD GPUs - native macOS app with Metal acceleration
Is toshllm actively maintained in 2026? +
Yes, toshllm is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 255 stars and 20 open issues.
What language is toshllm written in? +
The primary language is Swift. Topics include: amd-gpu, hackintosh, intel-mac, llama-cpp, llm.
How many stars does toshllm have? +
toshllm has 255 stars and 30 forks on GitHub.
How does toshllm rank among GitHub repositories? +
With 255 stars, engeldlgado/toshllm is ranked #17,248 globally across all repositories tracked on GitHubRepo and #700 among Swift projects.
What license is toshllm distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
