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These projects were analysed and named maxtext among their alternatives. The relationship is not symmetric — how maxtext rates them is a separate judgement, made when maxtext is analysed in its own right.
calls maxtext “Choose for large-scale JAX/TPU training instead of a local GUI/model runner.”
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 maxtext “Choose when you are working in JAX/TPU or large-scale GPU clusters and want scalable training, accepting a wholly different stack from ms-swift.”
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 maxtext “JAX-based scalable LLM training library; choose for JAX/TPU stacks rather than Paddle.”
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
calls maxtext “Choose it for TPU/JAX-scale pretraining or fine-tuning when you need native JAX performance instead of Oumi's Python-first multi-framework stack.”
Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!