Companion models for Rearchitecting LLMs (Manning). Pruning, Distillation, Fine-Tuning, Attention Optimization & Activation Analysis for efficient SLM
Pere Martra
oopere
AI & ML interests
AI Research Engineer | Structured Pruning & LLM Efficiency | Fairness-Aware Optimization | Author “Rearchitecting LLMs” @Manning | 2K GitHub ⭐
Recent Activity
liked a dataset about 7 hours ago
Helmcode/stack-v3-devops authored a paper 6 days ago
Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations updated a dataset 6 days ago
oopere/fairness-pruning-pairs-esOrganizations
Companion models for Rearchitecting LLMs (Manning). Pruning, Distillation, Fine-Tuning, Attention Optimization & Activation Analysis for efficient SLM
FinLLMOpt is a comprehensive collection of optimized Financial Large Language Models (FinLLMs) designed to address various tasks in the financial doma
Created by pruning the MLP (feedforward) layers, reducing the size of Llama models while improving their performance.