srush / do-we-need-attentionLinks
โ166Updated 2 years ago
Alternatives and similar repositories for do-we-need-attention
Users that are interested in do-we-need-attention are comparing it to the libraries listed below
Sorting:
- Understand and test language model architectures on synthetic tasks.โ219Updated last month
- A MAD laboratory to improve AI architecture designs ๐งชโ123Updated 6 months ago
- โ37Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.โ141Updated 2 weeks ago
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023โ136Updated last year
- some common Huggingface transformers in maximal update parametrization (ยตP)โ81Updated 3 years ago
- Language models scale reliably with over-training and on downstream tasksโ97Updated 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 amountโฆโ54Updated last year
- nanoGPT-like codebase for LLM trainingโ99Updated last month
- โ112Updated last year
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPTโ214Updated 10 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"โ237Updated last month
- [NeurIPS 2023] Learning Transformer Programsโ161Updated last year
- โ53Updated last year
- โ79Updated last year
- Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE โฆโ113Updated last year
- Large scale 4D parallelism pre-training for ๐ค transformers in Mixture of Experts *(still work in progress)*โ84Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)โ190Updated last year
- Inference code for LLaMA models in JAXโ118Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT trainingโ129Updated last year
- JAX implementation of the Llama 2 modelโ219Updated last year
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Dayโ256Updated last year
- Implementation of the Llama architecture with RLHF + Q-learningโ165Updated 5 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"โ74Updated 8 months ago
- Experiment of using Tangent to autodiff tritonโ79Updated last year
- โ147Updated 2 years ago
- Annotated version of the Mamba paperโ485Updated last year
- Train very large language models in Jax.โ205Updated last year
- Scaling Data-Constrained Language Modelsโ337Updated 2 weeks ago
- Implementation of Infini-Transformer in Pytorchโ111Updated 6 months ago