xrsrke / pipegoose
Large scale 4D parallelism pre-training for ๐ค transformers in Mixture of Experts *(still work in progress)*
โ81Updated last year
Alternatives and similar repositories for pipegoose:
Users that are interested in pipegoose are comparing it to the libraries listed below
- some common Huggingface transformers in maximal update parametrization (ยตP)โ80Updated 3 years ago
- โ76Updated 9 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT trainingโ123Updated 11 months ago
- โ20Updated last year
- โ60Updated 3 years ago
- โ53Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.โ103Updated 4 months ago
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.โ82Updated last year
- supporting pytorch FSDP for optimizersโ80Updated 4 months ago
- Experiments for efforts to train a new and improved t5โ77Updated 11 months ago
- Automatically take good care of your preemptible TPUsโ36Updated last year
- Language models scale reliably with over-training and on downstream tasksโ96Updated last year
- HomebrewNLP in JAX flavour for maintable TPU-Trainingโ49Updated last year
- Experiments with generating opensource language model assistantsโ97Updated last year
- A set of Python scripts that makes your experience on TPU betterโ50Updated 9 months ago
- JAX implementation of the Llama 2 modelโ217Updated last year
- โ22Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amountโฆโ53Updated last year
- Inference code for LLaMA models in JAXโ116Updated 10 months ago
- โ43Updated last year
- OSLO: Open Source for Large-scale Optimizationโ175Updated last year
- โ79Updated 11 months ago
- Collection of autoregressive model implementationโ85Updated last month
- Experiment of using Tangent to autodiff tritonโ78Updated last year
- โ67Updated 2 years ago
- Implementation of the Llama architecture with RLHF + Q-learningโ163Updated 2 months ago
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizersโ88Updated 8 months ago
- Understand and test language model architectures on synthetic tasks.โ190Updated last month
- WIPโ93Updated 8 months ago
- โ49Updated last year