peijunallin / alphaloraLinks
☆18Updated last year
Alternatives and similar repositories for alphalora
Users that are interested in alphalora are comparing it to the libraries listed below
Sorting:
- Codes for Merging Large Language Models☆33Updated last year
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆37Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- [ACL 2024 Findings] Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning☆13Updated last year
- ☆17Updated 3 months ago
- ☆30Updated 2 years ago
- ☆16Updated last year
- ☆19Updated 10 months ago
- Code for paper: Long cOntext aliGnment via efficient preference Optimization☆23Updated last month
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 9 months ago
- ☆45Updated 2 months ago
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆60Updated 3 months ago
- DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling☆36Updated last year
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Updated last year
- ☆34Updated 2 years ago
- Exploration of automated dataset selection approaches at large scales.☆50Updated 8 months ago
- ☆16Updated last year
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆58Updated 5 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆123Updated 7 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆63Updated 11 months ago
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆128Updated last month
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated last year
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆38Updated last year
- Implementation of "Decoding-time Realignment of Language Models", ICML 2024.☆21Updated last year
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆43Updated 9 months ago
- [NeurIPS 2025] Official implementation of "Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning"☆25Updated last month
- [EMNLP'25 Industry] Repo for "Z1: Efficient Test-time Scaling with Code"☆67Updated 7 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year