calls xTuring “choose when you want a simple open-source fine-tuning library with dataset preprocessing and a direct CLI interface.”
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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calls xTuring “choose when you want a simple open-source fine-tuning library with dataset preprocessing and a direct CLI interface.”
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
calls xTuring “Choose if you prefer a simple Python library/CLI for building and personalizing LLMs without a desktop app.”
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
calls xTuring “Choose only for a simpler, older-style LLM fine-tuning library with fewer modern model families and no comparable MLLM/deployment support.”
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
calls xTuring “Choose it for a simpler fine-tuning-centric library when you only need basic SFT/DPO without Oumi's deployment and evaluation breadth.”
Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!