SakanaAI / CycleQD
CycleQD is a framework for parameter space model merging.
☆38Updated 2 months ago
Alternatives and similar repositories for CycleQD:
Users that are interested in CycleQD are comparing it to the libraries listed below
- An AI benchmark for creative, human-like problem solving using Sudoku variants☆38Updated this week
- Code for Discovering Preference Optimization Algorithms with and for Large Language Models☆62Updated 10 months ago
- [ICLR 2025] SDTT: a simple and effective distillation method for discrete diffusion models☆22Updated 2 weeks ago
- Official implementation of "TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models"☆101Updated 2 months ago
- List of papers on Self-Correction of LLMs.☆72Updated 3 months ago
- Memory Mosaics are networks of associative memories working in concert to achieve a prediction task.☆40Updated 2 months ago
- Checkpointable dataset utilities for foundation model training☆32Updated last year
- A repository for research on medium sized language models.☆76Updated 10 months ago
- ☆14Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- Lottery Ticket Adaptation☆39Updated 4 months ago
- Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers☆17Updated last month
- Ongoing Research Project for continaual pre-training LLM(dense mode)☆39Updated last month
- Mamba training library developed by kotoba technologies☆70Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated 10 months ago
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆28Updated last month
- ☆9Updated 3 weeks ago
- ARLC, a probabilistic abductive reasoner for solving Raven's progressive matrices.☆18Updated last month
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆55Updated 7 months ago
- A testbed for agents and environments that can automatically improve models through data generation.☆23Updated last month
- EvaByte: Efficient Byte-level Language Models at Scale☆86Updated 3 weeks ago
- ☆48Updated 5 months ago
- ☆54Updated this week
- Code of "Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment" (2025).☆14Updated 2 weeks ago
- ☆40Updated 3 weeks ago
- ☆105Updated 2 months ago
- Knowledge Unlearning for Large Language Models☆25Updated 2 weeks ago
- The official implementation of Self-Exploring Language Models (SELM)☆63Updated 10 months ago
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆25Updated 5 months ago
- a benchmark to evaluate the situated inductive reasoning☆14Updated 3 months ago