Privacy and advertising choices
Git-Stars uses essential storage for site operation. Optional analytics and ad-measurement scripts stay disabled unless you accept them; partners such as Google may then use cookies or similar identifiers where required. Privacy Policy
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
70
review score
Problem solved
It solves the pain of LLM fine-tuning infrastructure, such as SSHing into GPU boxes, complex configs, and high VRAM requirements, by providing an automated, one-command workflow that works locally on modest hardware.
Deployment reality
The available setup signal starts with: pip install "soup-cli[train]". Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is Apache-2.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
MakazhanAlpamys/Soup still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
MakazhanAlpamys/Soup is tracked as a Python project in the LLM Tool, Developer Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 1.7k total stars, with +297 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 7 days ago, and the open issue queue is 88, about 5.29% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 263 forks and 1.7k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 297. Follow the original GitHub repository for final install, security, and release information.
Analysis
LimitedNeeds stronger original analysis before indexing.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyApache-2.0 is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
1.7k Stars
Reuse
263 Forks
Attention
1.7k Watchers
Maintenance
active
License
Apache-2.0
Open issues
88
Soup is a CLI tool that simplifies fine-tuning and post-training of large language models (LLMs) with a single command, eliminating the need for SSH or complex configuration. It supports local training on consumer GPUs via QLoRA and layer streaming, enabling fine-tuning of 8B models on as little as 4 GB VRAM.
Key Features
- Zero SSH: no need to manage remote GPU servers. - One config: simple YAML file for all training settings. - Auto everything: automatic batch size, GPU detection, and quantization. - Layer streaming (BETA): enables fine-tuning 8B models on 4 GB GPUs by streaming frozen layers. - Release gate with noise floor: `soup ship` evaluates model improvements with statistical significance.
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
Developer Tool
Tools that improve coding, testing, build, and local workflow
pip install "soup-cli[train]"73
Health Score
Active
Commit Activity
Feb 20, 2026
Created
Aug 15, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
MakazhanAlpamys
GitHub profilecodecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
nilbuild/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
react/react
The library for web and native user interfaces.
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
✓
License
✓
Forked
✓ Active
Maintained