yixiaoer / tpuxLinks
A set of Python scripts that makes your experience on TPU better
☆55Updated last year
Alternatives and similar repositories for tpux
Users that are interested in tpux are comparing it to the libraries listed below
Sorting:
- ☆14Updated last year
- JAX implementation of the Llama 2 model☆219Updated last year
- Minimal but scalable implementation of large language models in JAX☆35Updated last week
- ☆79Updated last year
- JAX implementation of the Mistral 7b v0.2 model☆35Updated last year
- Inference code for LLaMA models in JAX☆118Updated last year
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆85Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆147Updated 2 weeks ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆129Updated last year
- seqax = sequence modeling + JAX☆165Updated last month
- ☆20Updated 2 years ago
- Understand and test language model architectures on synthetic tasks.☆219Updated last month
- LoRA for arbitrary JAX models and functions☆140Updated last year
- A simple library for scaling up JAX programs☆139Updated 8 months ago
- Distributed pretraining of large language models (LLMs) on cloud TPU slices, with Jax and Equinox.☆24Updated 9 months ago
- some common Huggingface transformers in maximal update parametrization (µP)☆81Updated 3 years ago
- A MAD laboratory to improve AI architecture designs 🧪☆123Updated 6 months ago
- Train very large language models in Jax.☆204Updated last year
- If it quacks like a tensor...☆58Updated 8 months ago
- supporting pytorch FSDP for optimizers☆82Updated 7 months ago
- ☆273Updated last year
- 🧱 Modula software package☆204Updated 3 months ago
- ☆53Updated last year
- JAX bindings for Flash Attention v2☆90Updated 11 months ago
- Accelerate, Optimize performance with streamlined training and serving options with JAX.☆288Updated this week
- ☆53Updated last year
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆59Updated 2 months ago
- ☆61Updated 3 years ago
- Experiments for efforts to train a new and improved t5☆76Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆237Updated last month