thu-coai / MiniPLMLinks
[ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
☆47Updated 7 months ago
Alternatives and similar repositories for MiniPLM
Users that are interested in MiniPLM are comparing it to the libraries listed below
Sorting:
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆52Updated 4 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆52Updated 2 years ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆39Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- Code for paper "Patch-Level Training for Large Language Models"☆85Updated 7 months ago
- ☆101Updated 8 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆85Updated 8 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆88Updated last month
- ☆64Updated last year
- Long Context Extension and Generalization in LLMs☆57Updated 9 months ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆37Updated 3 months ago
- The code and data for the paper JiuZhang3.0☆47Updated last year
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆38Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆176Updated last year
- ☆19Updated 4 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 7 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆149Updated 4 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…☆54Updated 7 months ago
- This is the official repo of "QuickLLaMA: Query-aware Inference Acceleration for Large Language Models"☆51Updated 11 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 2 weeks ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆44Updated last month
- Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"☆52Updated 10 months ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆80Updated last year
- Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆39Updated last month
- "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…☆29Updated last year
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆45Updated 7 months ago
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆57Updated 8 months ago
- ☆18Updated 6 months ago
- ☆109Updated 3 months ago
- ☆17Updated 5 months ago