erfanzar / EasyDeL
Accelerate, Optimize performance with streamlined training and serving options with JAX.
☆226Updated this week
Alternatives and similar repositories for EasyDeL:
Users that are interested in EasyDeL are comparing it to the libraries listed below
- (EasyDel Former) is a utility library designed to simplify and enhance the development in JAX☆24Updated this week
- Inference code for LLaMA models in JAX☆114Updated 9 months ago
- Flash Attention Implementation with Multiple Backend Support and Sharding This module provides a flexible implementation of Flash Attenti…☆23Updated 2 months ago
- JAX implementation of the Llama 2 model☆215Updated last year
- A set of Python scripts that makes your experience on TPU better☆48Updated 7 months ago
- seqax = sequence modeling + JAX☆143Updated 7 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆95Updated 3 months ago
- LoRA for arbitrary JAX models and functions☆135Updated 11 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆184Updated 6 months ago
- ☆211Updated 7 months ago
- Train very large language models in Jax.☆203Updated last year
- JAX Synergistic Memory Inspector☆168Updated 7 months ago
- ☆75Updated 7 months ago
- A MAD laboratory to improve AI architecture designs 🧪☆103Updated 2 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆545Updated this week
- Cost aware hyperparameter tuning algorithm☆143Updated 7 months ago
- Understand and test language model architectures on synthetic tasks.☆181Updated last month
- nanoGPT-like codebase for LLM training☆89Updated this week
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- ☆49Updated 11 months ago
- A simple library for scaling up JAX programs☆129Updated 3 months ago
- Google TPU optimizations for transformers models☆98Updated last month
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆81Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆222Updated this week
- supporting pytorch FSDP for optimizers☆76Updated 2 months ago
- ☆92Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆191Updated 7 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆122Updated 10 months ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆56Updated 3 months ago
- If it quacks like a tensor...☆56Updated 3 months ago