Alternatives and similar repositories for activated-lora

Users that are interested in activated-lora are comparing it to the libraries listed below

• ltgoslo / bert-in-context
  Official implementation of "BERTs are Generative In-Context Learners"
  ☆31Updated 4 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆61Updated 9 months ago
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆78Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆81Updated 9 months ago
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆23Updated 2 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆82Updated 3 weeks ago
• HazyResearch / train-tk
  train with kittens!
  ☆62Updated 9 months ago
• aryopg / decore
  Official Implementation of "DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucination"
  ☆24Updated 7 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• lfsszd / CS-Drafting
  Cascade Speculative Drafting
  ☆29Updated last year
• wdlctc / mini-s
  ☆51Updated 9 months ago
• ScalingIntelligence / large_language_monkeys
  ☆101Updated 10 months ago
• selfsupervised-ai / Natural-GaLore
  An extention to the GaLore paper, to perform Natural Gradient Descent in low rank subspace
  ☆17Updated 9 months ago
• codezakh / DataEnvGym
  A testbed for agents and environments that can automatically improve models through data generation.
  ☆27Updated 5 months ago
• foundation-model-stack / fms-model-optimizer
  FMS Model Optimizer is a framework for developing reduced precision neural network models.
  ☆20Updated last week
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆88Updated last month
• RobertCsordas / moeut
  ☆83Updated 11 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆33Updated 2 weeks ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆127Updated 8 months ago
• google-deepmind / asyncdiloco
  ☆45Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 10 months ago
• recursal / GoldFinch-paper
  GoldFinch and other hybrid transformer components
  ☆46Updated last year
• VITA-Group / WeLore
  From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…
  ☆47Updated 3 months ago
• KindXiaoming / physics_of_skill_learning
  We study toy models of skill learning.
  ☆29Updated 6 months ago
• minyoungg / LTE
  ☆68Updated last year
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated 11 months ago
• open-lm-engine / lm-engine
  LM engine is a library for pretraining/finetuning LLMs
  ☆61Updated this week
• epfml / DenseFormer
  ☆81Updated last year