Large Language Model Fine-tuning & Adaptation
33 repos
Parameter-efficient fine-tuning techniques and tools for adapting large language models to downstream tasks. These repositories focus on methods like LoRA (Low-Rank Adaptation) and PEFT frameworks that reduce computational costs while maintaining model quality, with support for various model architectures including Mistral, Qwen, and Gemma. The cluster also includes emerging applications in multimodal generation tasks like text-to-audio and text-to-video synthesis.
Python · 1
peft ·241
lora ·241
safetensors ·225
minimax-h3 ·182
text-to-audio-video ·182
prompt-rewriting ·182
audio-video-generation ·182
text-generation ·38
en ·37
granite-library ·31
