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Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Python ◇ cli Apache-2.0
★10.1KSTARS
⑂1.7KFORKS
!213ISSUES
🏆#1,638GLOBAL RANK
🔥41DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

Soup is Soup is an open-source project written in Python: Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), MakazhanAlpamys/Soup has accumulated 10,114 GitHub stars and 1,669 forks. It is written in Python, licensed under Apache-2.0, and ranks #1,638 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
Repository MakazhanAlpamys/Soup ↗
Primary Category cli
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 10.1K stars · ⑂ 1.7K forks · #1,638 globally
Maintenance ● Active (Last commit: Nov 4, 2026) · 213 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: 100/100 · Grade A+
✅
Is Soup actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Soup is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (9 days ago). Supported by 10,114 stars and 1,669 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 4, 2026
9 days since last push
Issue Backlog
213 Open Issues
Healthy Issue Cadence
Community Backing
1.7K Forks
10.1K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for MakazhanAlpamys/Soup
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Momentum

+1.2K

STARS · LAST 30 DAYS

39

PER DAY

#278

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+1.2K+3.5K
Per day13939
Forks gained+0+221+83

Soup gained 1.2K stars in the last 30 days, about 39 a day, and now has 10.1K. It is about 1 year old and has averaged roughly 10.1K stars a year. It ranks #278 among Python repositories and #1,638 across all languages on GitHubRepo.

Trending Record

Soup has maintained a continuous presence across global trending indexes, peaking at #43. Below is the 30-day activity profile:

💡 Overview

Soup is an open-source project written in Python: Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cli, consumer-gpu, dpo. 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 Python 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
$ pip install Soup

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Soup 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 Soup.

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 Soup using your package manager: `pip install Soup`

2

Initialize your project workspace or configuration file for Soup.

3

Import Soup into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 7,356 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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

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👥 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

MakazhanAlpamys/Soup is currently ranked #1,638 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,633 pmndrs/drei JavaScript ★ 10.1K Compare ↗
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#1,636 stanfordnlp/CoreNLP Java ★ 10.1K Compare ↗
#1,637 unoplatform/uno C# ★ 10.1K Compare ↗
#1,638 MakazhanAlpamys/Soup This Project Python ★ 10.1K
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Frequently Asked Questions

What does Soup do? +

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Is Soup actively maintained in 2026? +

Yes, Soup is actively maintained. The latest code push was recorded on Nov 4, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 10,114 stars and 213 open issues.

What language is Soup written in? +

The primary language is Python. Topics include: cli, consumer-gpu, dpo, fine-tuning, gguf.

How many stars does Soup have? +

Soup has 10,114 stars and 1,669 forks on GitHub.

How does Soup rank among GitHub repositories? +

With 10,114 stars, MakazhanAlpamys/Soup is ranked #1,638 globally across all repositories tracked on GitHubRepo and #278 among Python projects.

What license is Soup distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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