koayon / awesome-adaptive-computation
A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
☆131Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-adaptive-computation
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆214Updated 3 months ago
- ☆175Updated this week
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆179Updated 5 months ago
- Understand and test language model architectures on synthetic tasks.☆162Updated 6 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆123Updated 8 months ago
- ☆101Updated 3 months ago
- ☆122Updated 10 months ago
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆216Updated 7 months ago
- ☆90Updated 4 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆84Updated this week
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆104Updated last month
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆92Updated last month
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆112Updated 2 months ago
- ☆184Updated last month
- ☆151Updated 9 months ago
- Some preliminary explorations of Mamba's context scaling.☆191Updated 9 months ago
- Language models scale reliably with over-training and on downstream tasks☆94Updated 7 months ago
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆128Updated 3 weeks ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆68Updated 5 months ago
- Benchmarking LLMs with Challenging Tasks from Real Users☆195Updated 2 weeks ago
- A MAD laboratory to improve AI architecture designs 🧪☆95Updated 6 months ago
- ☆68Updated 3 months ago
- NanoGPT-like codebase for LLM training☆75Updated this week
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆56Updated last month
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (Official Code)☆135Updated last month
- PB-LLM: Partially Binarized Large Language Models☆148Updated last year
- Normalized Transformer (nGPT)☆66Updated this week
- This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.☆80Updated 4 months ago
- RuLES: a benchmark for evaluating rule-following in language models☆211Updated last month
- ☆63Updated 4 months ago