kyegomez / EvoVLM-JPLinks
Plug in & Play Pytorch Implementation of the paper: "Evolutionary Optimization of Model Merging Recipes" by Sakana AI
☆31Updated last year
Alternatives and similar repositories for EvoVLM-JP
Users that are interested in EvoVLM-JP are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of Evolutionary Model Merging☆41Updated last year
- The official implementation of Self-Exploring Language Models (SELM)☆63Updated last year
- ☆33Updated 11 months ago
- ☆75Updated last year
- ☆204Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- Lottery Ticket Adaptation☆40Updated last year
- ☆89Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- ☆100Updated last year
- ☆125Updated 9 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆148Updated last year
- Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More☆33Updated 7 months ago
- This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.☆105Updated last year
- [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study☆57Updated last year
- Self-playing Adversarial Language Game Enhances LLM Reasoning, NeurIPS 2024☆142Updated 9 months ago
- ☆70Updated last year
- [NeurIPS 2024] Low rank memory efficient optimizer without SVD☆32Updated 5 months ago
- Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs☆51Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated last year
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 11 months ago
- This is the official repository for Inheritune.☆116Updated 10 months ago
- ☆55Updated last year
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆84Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆93Updated last year
- ☆110Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆196Updated last year
- LLM-Merging: Building LLMs Efficiently through Merging☆207Updated last year
- The repository contains code for Adaptive Data Optimization☆29Updated last year
- Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch☆181Updated 5 months ago