Sea-Snell / JAXSeqLinks
Train very large language models in Jax.
☆210Updated 2 years ago
Alternatives and similar repositories for JAXSeq
Users that are interested in JAXSeq are comparing it to the libraries listed below
Sorting:
- Inference code for LLaMA models in JAX☆120Updated last year
- JAX implementation of the Llama 2 model☆216Updated last year
- LoRA for arbitrary JAX models and functions☆143Updated last year
- A simple library for scaling up JAX programs☆144Updated last month
- seqax = sequence modeling + JAX☆169Updated 5 months ago
- JAX Synergistic Memory Inspector☆183Updated last year
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆189Updated 3 years ago
- ☆63Updated 3 years ago
- ☆190Updated this week
- Implementation of Flash Attention in Jax☆222Updated last year
- ☆364Updated last year
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆87Updated 2 years ago
- Machine Learning eXperiment Utilities☆46Updated 4 months ago
- Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…☆215Updated 6 months ago
- ☆66Updated 3 years ago
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- JMP is a Mixed Precision library for JAX.☆211Updated 10 months ago
- Minimal but scalable implementation of large language models in JAX☆35Updated 3 weeks ago
- ☆286Updated last year
- Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes☆242Updated 2 years ago
- Jax/Flax rewrite of Karpathy's nanoGPT☆62Updated 2 years ago
- If it quacks like a tensor...☆59Updated last year
- A set of Python scripts that makes your experience on TPU better☆54Updated 3 months ago
- ☆167Updated 2 years ago
- ☆234Updated 10 months ago
- Amos optimizer with JEstimator lib.☆82Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆135Updated last year
- ☆259Updated 6 months ago
- Functional local implementations of main model parallelism approaches☆95Updated 2 years ago
- Minimal yet performant LLM examples in pure JAX☆219Updated 3 weeks ago