ms-swift and LLM-Finetuning
A comprehensive production framework for fine-tuning hundreds of models across multiple training paradigms, while B is a lightweight educational repository demonstrating PEFT fine-tuning techniques—making them complementary resources where B's examples could inform workflows within A's ecosystem.
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 LLM-Finetuning
ashishpatel26/LLM-Finetuning
LLM Finetuning with peft
This project helps machine learning engineers and researchers adapt large language models (LLMs) like Llama 2, Falcon, or GPT-Neo-X to perform specific tasks using their own custom datasets. You provide an existing LLM and your unique text data, and it outputs a specialized version of that model ready for tasks such as answering domain-specific questions, generating tailored text, or improving chatbot performance. This is for professionals who need to customize powerful AI models without starting from scratch.
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