HazyResearch / basedLinks
Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
β241Updated 3 months ago
Alternatives and similar repositories for based
Users that are interested in based are comparing it to the libraries listed below
Sorting:
- Understand and test language model architectures on synthetic tasks.β225Updated 2 months ago
- A MAD laboratory to improve AI architecture designs π§ͺβ129Updated 8 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"β245Updated 7 months ago
- Some preliminary explorations of Mamba's context scaling.β217Updated last year
- β149Updated 2 years ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clustersβ129Updated 9 months ago
- β195Updated last week
- β118Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.β160Updated 2 months ago
- β82Updated last year
- nanoGPT-like codebase for LLM trainingβ107Updated 3 months ago
- Normalized Transformer (nGPT)β188Updated 9 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performanceβ¦β155Updated 5 months ago
- Token Omission Via Attentionβ128Updated 11 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top ofβ¦β146Updated last year
- β53Updated last year
- Triton-based implementation of Sparse Mixture of Experts.β239Updated 3 weeks ago
- Code for studying the super weight in LLMβ117Updated 9 months ago
- Multipack distributed sampler for fast padding-free training of LLMsβ199Updated last year
- Accelerated First Order Parallel Associative Scanβ188Updated last year
- Fast and memory-efficient exact attentionβ69Updated 6 months ago
- some common Huggingface transformers in maximal update parametrization (Β΅P)β82Updated 3 years ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.β87Updated last month
- β202Updated 9 months ago
- Implementation of π₯₯ Coconut, Chain of Continuous Thought, in Pytorchβ179Updated 2 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmindβ128Updated last year
- Language models scale reliably with over-training and on downstream tasksβ99Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.β70Updated last year
- β128Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS β¦β60Updated 11 months ago