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A powerful AI coding agent. Built for the terminal.
Automatically cleaning, enhancing, segmenting, filtering, and formatting a dataset to fine tune or train a voice model.
Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
A bunch of kernels that might make stuff slower 😉
Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
official repository for “Reinforcement Learning for Reasoning in Large Language Models with One Training Example”
MergeBench: A Benchmark for Merging Domain-Specialized LLMs
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
Code for Spectral Insights into Data-Oblivious Critical Layers in Large Language Models.
[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
Fully open data curation for reasoning models
Open-Source LLM Coders with Co-Evolving Reinforcement Learning
Cursor Talk To Figma MCP
s3 - Efficient Yet Effective Search Agent Training via RL for RAG
A Recipe for Building LLM Reasoners to Solve Complex Instructions
The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning"