4 repository-uri
Awesome GitHub RepositoriesFine-Tuning Frameworks
Libraries and tools designed to adapt pre-trained artificial intelligence models to custom datasets or specialized tasks.
Distinguishing note: Covers the broader process of model adaptation, distinct from specific parameter-efficient techniques.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Fine-Tuning Frameworks. Refine with filters or upvote what's useful.
Awesome Fine-Tuning Frameworks GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- datawhalechina/self-llm
datawhalechina/self-llm
30,941Vezi pe GitHubThis project is an open-source educational resource providing structured, step-by-step guides for fine-tuning large language models. It focuses on adapting pre-trained transformer-based causal models to custom datasets, enabling users to transfer specific writing styles or domain knowledge into generative AI models. The repository distinguishes itself by emphasizing parameter-efficient training techniques, specifically low-rank adaptation. By providing practical implementations for updating only a small subset of model weights, it allows for the customization of massive neural networks on con
Adapting pre-trained artificial intelligence models to specific datasets or tasks using efficient parameter-tuning techniques like LoRA.
Jupyter Notebookchatglmchatglm3gemma-2b-it - qwenlm/qwen3
QwenLM/Qwen3
27,324Vezi pe GitHubQwen3 is a transformer-based large language model designed as a generative AI foundation for understanding, reasoning, and generating human language. It functions as a comprehensive ecosystem for model training, fine-tuning, and production-ready inference, providing the underlying architecture and weights necessary to build diverse artificial intelligence applications. The project distinguishes itself through extensive support for model quantization and distributed inference, enabling efficient execution across a wide range of hardware from consumer-grade devices to scalable cloud infrastruct
Provides specialized tools and workflows for fine-tuning machine learning models.
Python - qwenlm/qwen-vl
QwenLM/Qwen-VL
6,535Vezi pe GitHubProvides a system for adapting pretrained vision-language models using parameter-efficient methods like LoRA and Q-LoRA.
Pythonlarge-language-modelsvision-language-model - plachtaa/seed-vc
Plachtaa/seed-vc
3,590Vezi pe GitHubseed-vc is an AI voice conversion tool and voice cloning system designed to transform the timbre, accent, and emotion of speech recordings. It provides a framework for replicating specific speaker identities and singing styles using short reference audio samples. The project includes a voice fine-tuning framework for training models on custom audio datasets to increase the accuracy of voice clones. It also features speech anonymization tools that remove unique speaker traits to produce a generic average voice for identity protection. The system covers a broad range of audio processing capabi
Provides a framework for training models on custom audio datasets to improve the accuracy of voice clones.
Pythonsinging-voice-conversionvoice-conversion
