openai / chzLinks
☆202Updated 3 weeks ago
Alternatives and similar repositories for chz
Users that are interested in chz are comparing it to the libraries listed below
Sorting:
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- ☆91Updated last year
- Understand and test language model architectures on synthetic tasks.☆245Updated 2 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆179Updated 5 months ago
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆196Updated last year
- ☆56Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆135Updated 11 months ago
- WIP☆93Updated last year
- Experiment of using Tangent to autodiff triton☆81Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated last year
- A set of Python scripts that makes your experience on TPU better☆54Updated 2 months ago
- seqax = sequence modeling + JAX☆168Updated 4 months ago
- ☆121Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆243Updated 6 months ago
- Supporting code for the blog post on modular manifolds.☆104Updated 2 months ago
- LoRA for arbitrary JAX models and functions☆143Updated last year
- A simple library for scaling up JAX programs☆144Updated last month
- A library for unit scaling in PyTorch☆132Updated 5 months ago
- JAX bindings for Flash Attention v2☆100Updated last month
- supporting pytorch FSDP for optimizers☆84Updated last year
- 🧱 Modula software package☆315Updated 3 months ago
- Long context evaluation for large language models☆224Updated 9 months ago
- Code accompanying the paper "Generalized Interpolating Discrete Diffusion"☆109Updated 6 months ago
- DeMo: Decoupled Momentum Optimization☆197Updated last year
- JAX implementation of the Llama 2 model☆216Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- JAX implementation of the Mistral 7b v0.2 model☆35Updated last year
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆84Updated last year