ms-swift and LlamaFactory
Both are unified fine-tuning frameworks that support similar methods (LoRA, QLoRA, DPO) across large model families, making them direct competitors offering largely overlapping functionality rather than complementary tools.
About ms-swift
modelscope/ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.5, DeepSeek-R1, GLM-5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, Phi4, ...) (AAAI 2025).
This framework helps AI developers and researchers customize large language models (LLMs) and multimodal large models (MLLMs) for specific tasks or datasets. It takes a base model and your specialized data, then outputs a fine-tuned model ready for deployment. This is for professionals building custom AI applications.
About LlamaFactory
hiyouga/LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
This tool helps researchers, data scientists, and ML engineers customize large language models for specific tasks. You input an existing large language model and your own specialized dataset, and it outputs a fine-tuned model that performs better on your unique data or problem. It's designed for anyone who needs to adapt powerful AI models without deep programming.
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