Parameter-Efficient Fine-Tuning & LLM Adaptation
21 repos
Techniques and implementations for efficiently adapting large language models and vision-language models through parameter-efficient methods like LoRA and PEFT. The cluster covers fine-tuning frameworks, safetensor model formats for efficient storage and loading, and applications across text generation and multimodal tasks. Most repos focus on practical implementations of adapter-based training that reduce memory and computational requirements while maintaining model performance.
lora ·41
safetensors ·41
peft ·41
text-generation ·36
granite-library ·35
guardian ·35
factuality ·35
en ·35
granite ·35
hallucination ·35
