HazyResearch / zoologyLinks
Understand and test language model architectures on synthetic tasks.
β240Updated 2 months ago
Alternatives and similar repositories for zoology
Users that are interested in zoology are comparing it to the libraries listed below
Sorting:
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"β243Updated 5 months ago
- A MAD laboratory to improve AI architecture designs π§ͺβ135Updated 11 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.β174Updated 5 months ago
- Some preliminary explorations of Mamba's context scaling.β217Updated last year
- β53Updated last year
- nanoGPT-like codebase for LLM trainingβ111Updated 3 weeks ago
- β205Updated this week
- Accelerated First Order Parallel Associative Scanβ192Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clustersβ130Updated last year
- β166Updated 2 years ago
- Token Omission Via Attentionβ127Updated last year
- Normalized Transformer (nGPT)β194Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)β194Updated last year
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"β249Updated 10 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)β78Updated last year
- β83Updated 2 years ago
- some common Huggingface transformers in maximal update parametrization (Β΅P)β87Updated 3 years ago
- β150Updated 2 years ago
- β91Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.β91Updated 4 months ago
- Physics of Language Models, Part 4β260Updated 4 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"β85Updated last year
- β185Updated last year
- Code for studying the super weight in LLMβ121Updated 11 months ago
- Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Modeβ¦β116Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT trainingβ132Updated last year
- Triton-based implementation of Sparse Mixture of Experts.β253Updated 2 months ago
- Multipack distributed sampler for fast padding-free training of LLMsβ202Updated last year
- Mixture of A Million Expertsβ50Updated last year
- Implementation of π₯₯ Coconut, Chain of Continuous Thought, in Pytorchβ180Updated 5 months ago