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YAML-configured fine-tuning for LLMs: LoRA, QLoRA, FSDP, and many architectures on top of Hugging Face trainers.
llmfine-tuningloratraininghuggingface
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Optimized fine-tuning library claiming 2× faster LoRA/QLoRA with less VRAM via custom kernels and Hugging Face compatibility.
llmfine-tuningloratrainingoptimization
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Parameter-efficient fine-tuning methods (LoRA, adapters, prompt tuning) integrated with Transformers models.
fine-tuningloratransformersllm
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AutoTrain Advanced: low-code training flows for classification, LLM fine-tunes, and diffusion tasks tied to the Hub.
fine-tuningautomlhuggingfacetaaft-repositories