Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
Star History
Momentum
+171
STARS · LAST 30 DAYS
6
PER DAY
#35
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +171 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +2 | +9 | +22 |
turbo-fieldfare gained 171 stars in the last 30 days, about 6 a day, and now has 6.8K. It is about 1 year old and has averaged roughly 6.8K stars a year. It ranks #35 among Swift repositories and #881 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#1599
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
turbo-fieldfare has maintained a continuous presence across global trending indexes, peaking at #1599. Below is the 30-day activity profile:
💡 Overview
turbo-fieldfare is an open-source project written in Swift: Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook.
Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-silicon, gemma, gemma4. 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/drumih/turbo-fieldfare.git
cd turbo-fieldfare
⚙ 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
turbo-fieldfare 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 turbo-fieldfare.
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 turbo-fieldfare using your package manager: `git clone https://github.com/drumih/turbo-fieldfare.git`
Initialize your project workspace or configuration file for turbo-fieldfare.
Import turbo-fieldfare into your codebase or invoke it directly from your terminal.
Execute your test suite or run `turbo-fieldfare --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
drumih/turbo-fieldfare is currently ranked #881 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #876 | sqldelight/sqldelight | Kotlin | ★ 6.9K | Compare ↗ |
| #877 | external-secrets/external-secrets | Go | ★ 6.9K | Compare ↗ |
| #878 | zai-org/ZCode | TypeScript | ★ 6.9K | Compare ↗ |
| #879 | Osmantic/ODS | Python | ★ 6.9K | Compare ↗ |
| #880 | jstedfast/MailKit | C# | ★ 6.9K | Compare ↗ |
| #881 | drumih/turbo-fieldfare This Project | Swift | ★ 6.8K | |
| #882 | django-extensions/django-extensions | Python | ★ 6.8K | Compare ↗ |
| #883 | fullstackhero/dotnet-starter-kit | C# | ★ 6.8K | Compare ↗ |
| #884 | momenbasel/PureMac | Swift | ★ 6.8K | Compare ↗ |
| #885 | igorwojda/android-showcase | Kotlin | ★ 6.8K | Compare ↗ |
| #886 | plainhub/plain-app | Kotlin | ★ 6.8K | Compare ↗ |
Frequently Asked Questions
What does turbo-fieldfare do? +
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
What language is turbo-fieldfare written in? +
The primary language is Swift. Topics include: apple-silicon, gemma, gemma4, gemma4-26b-a4b, gpgpu.
Is turbo-fieldfare actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 52 open issues being tracked.
How many stars does turbo-fieldfare have? +
turbo-fieldfare has 6,838 stars and 431 forks on GitHub.
How does turbo-fieldfare rank among GitHub repositories? +
With 6,838 stars, drumih/turbo-fieldfare is ranked #881 globally across all repositories tracked on GitHubRepo and #35 among Swift projects.
What license is turbo-fieldfare distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.