unsloth and oumi
Unsloth optimizes the computational efficiency of fine-tuning workflows (2x faster, 70% less VRAM), while Oumi provides a higher-level framework for orchestrating the full lifecycle of fine-tuning, evaluation, and deployment—making them complementary tools that can be used together, with Unsloth accelerating the training component within Oumi's pipeline.
About unsloth
unslothai/unsloth
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Implements custom Triton kernels and mathematical optimizations for accelerated training across modalities (text, vision, audio, embeddings), while supporting full fine-tuning, reinforcement learning, and multi-bit quantization (4-bit, 16-bit, FP8). Provides both Unsloth Studio (web UI for Windows/Linux/macOS with visual data recipe workflows) and Unsloth Core (Python library integrating with PyTorch/Hugging Face), with built-in support for 500+ models and export to GGUF/safetensors formats.
About oumi
oumi-ai/oumi
Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!
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