Unsloth

Unsloth makes fine-tuning LLMs 2-5x faster while using 80% less VRAM through custom CUDA kernels, meaning you can fine-tune a 7B model on a single consumer GPU. It supports QLoRA, LoRA, and full fine-tuning for Llama, Mistral, and other popular architectures. The go-to tool for budget-conscious fine-tuning.

AI ToolFree Tier: Apache 2.0Company: Unsloth AICategory: Open-Source ModelsOpen Source: YesQuick Start: Install with 'pip install unsloth' → Load a pre-trained model and your training dataset → Fine-tune with dramatically reduced VRAM and time requirements

Unsloth

2–5× faster, 80% less VRAM fine-tuning

Visit Unsloth →

Unsloth makes fine-tuning LLMs 2-5x faster while using 80% less VRAM through custom CUDA kernels, meaning you can fine-tune a 7B model on a single consumer GPU. It supports QLoRA, LoRA, and full fine-tuning for Llama, Mistral, and other popular architectures. The go-to tool for budget-conscious fine-tuning.

FREE TIER
Apache 2.0
COMPANY
Unsloth AI
CATEGORY
Open-Source Models › Fine-Tuning
OPEN SOURCE
Yes
PRIVACY
Data stays local
TAGS
fine-tuningefficient

QUICK START

Install with 'pip install unsloth' → Load a pre-trained model and your training dataset → Fine-tune with dramatically reduced VRAM and time requirements

BEST FOR

  • ▸Budget-conscious users fine-tuning 7B+ LLMs on single consumer GPUs.
  • ▸Developers prioritizing speed and efficiency for LLM adaptation on local hardware.
  • ▸Privacy-focused teams needing secure, local fine-tuning for Llama/Mistral.

NOT FOR

  • ✕Users focused solely on LLM inference or building models from scratch.
  • ✕Beginners seeking a no-code, fully managed LLM fine-tuning platform.
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