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Awesome GitHub RepositoriesAdapter Loading
Load base models and their trained adapters or merged weights into Hugging Face Transformers for inference.
Distinct from Hugging Face: Distinct from Hugging Face: focuses on loading fine-tuned adapters and merged weights into Transformers, not general model conversion.
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Awesome Adapter Loading GitHub Repositories
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- meta-pytorch/torchtune
meta-pytorch/torchtune
5,774在 GitHub 上查看Torchtune is a PyTorch-native library for fine-tuning, aligning, and quantizing large language models. It provides a config-driven system for instantiating components, orchestrating distributed training, and managing parameter-efficient fine-tuning with quantization support, all through YAML-based configurations and command-line overrides. The library distinguishes itself through its comprehensive post-training workflow orchestration, combining supervised fine-tuning, preference optimization (DPO, PPO, GRPO), knowledge distillation, and quantization-aware training in a single configurable pip
Loads base models and their trained adapters or merged weights into Hugging Face Transformers for inference.
Python
