ScalingIntelligence / large_language_monkeys
☆82Updated 4 months ago
Alternatives and similar repositories for large_language_monkeys:
Users that are interested in large_language_monkeys are comparing it to the libraries listed below
- ☆71Updated 6 months ago
- ☆95Updated 7 months ago
- ☆75Updated last month
- Replicating O1 inference-time scaling laws☆82Updated 2 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆153Updated 2 months ago
- Long Context Extension and Generalization in LLMs☆48Updated 4 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆77Updated 4 months ago
- ☆108Updated 3 weeks ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆130Updated 5 months ago
- Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch☆156Updated last month
- Language models scale reliably with over-training and on downstream tasks☆96Updated 10 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆59Updated 4 months ago
- The official implementation of Self-Exploring Language Models (SELM)☆61Updated 8 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆68Updated 10 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆52Updated 10 months ago
- ☆57Updated 3 months ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning"☆100Updated 7 months ago
- LL3M: Large Language and Multi-Modal Model in Jax☆69Updated 9 months ago
- A repository for research on medium sized language models.☆76Updated 8 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆123Updated last month
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆149Updated 2 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆42Updated 7 months ago
- The official repo for "LLoCo: Learning Long Contexts Offline"☆114Updated 8 months ago
- PyTorch building blocks for the OLMo ecosystem☆54Updated this week
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆70Updated 3 months ago
- Self-Alignment with Principle-Following Reward Models☆154Updated 11 months ago