Fine-tunes LLMs, diffusion, TTS and embedding models 2x faster with ~70% less VRAM than standard Hugging Face training
Unsloth is listed under Fine-Tuning & Training Frameworks, in the AI Models & Local Execution category on Flocci AI Tools. Fine-tunes LLMs, diffusion, TTS and embedding models 2x faster with ~70% less VRAM than standard Hugging Face training. It is free, with no paid plan attached, and it lives at unsloth.ai.
Unsloth is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 396 entries on Flocci AI Tools with no upgrade path built in.
Unsloth needs to be installed or self-hosted — it doesn't run in a browser tab. It is available on Windows, Mac, Linux, the command line and self-hosting.
Unsloth does 3 things the catalog singles out: Fine-tunes llms, diffusion, tts and embedding models 2x faster with ~70% less vram than standard hugging face training; free google colab notebooks let anyone fine-tune open models like llama/qwen/glm on a free t4 gpu; supports lora, qlora, full fine-tuning, grpo and dpo reinforcement/preference tuning in one library.
LLaMA-Factory is the closest free alternative: it sits in the same Fine-Tuning & Training Frameworks sub-category and is free. AI Toolkit (Ostris), Axolotl and LitGPT also start free. The full list is on the alternatives page.
See the full list →