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InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.
The main features of internlm/internevo are: Fine-Tuning Frameworks.
Projects with overlapping indexed features include: alisawuffles/proxy-tuning — Code associated with Tuning Language Models by Proxy (Liu et al., 2024). blaizzy/mlx-vlm. bytedance-seed/veomni — VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo. evolvinglmms-lab/lmms-engine. facebookresearch/lingua — Lingua is a research framework for developing, training, and experimenting with large language model architectures and… alibaba/chatlearn — A flexible and efficient training framework for large-scale alignment tasks.
Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
A flexible and efficient training framework for large-scale alignment tasks
