MakazhanAlpamys/Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Python2.8K stars416 forks+303 today
Topics
#python#fine-tuning#gguf#huggingface#llm#lora#ollama#peft#qlora#cli#dpo#llmops#local-llm#machine-learning#sft#transformers#pytorch#consumer-gpu#local-ai#low-vram
What it does
Soup simplifies fine-tuning large language models with a single YAML configuration, enabling efficient training on limited GPU resources through layer streaming. It addresses the pain points of traditional LLM training by reducing infrastructure overhead and improving accessibility.
Star history
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Tracking
- Last trending
- 2026-08-15
Creator kit
Hook
Transform your language model fine-tuning process with Soup, making it as easy as a single command. #AI #MachineLearning
Content angles
- Create tutorials on how to use Soup for efficient LLM training.
- Compare Soup's performance metrics against traditional methods in a blog post.
- Develop walkthroughs demonstrating the ease of fine-tuning models with Soup.
Who should care
Data scientists, machine learning engineers, and researchers interested in large language model development.