Alternatives and similar repositories for neurips_llm_efficiency_challenge

Users that are interested in neurips_llm_efficiency_challenge are comparing it to the libraries listed below

• huggingface / datablations
  Scaling Data-Constrained Language Models
  ☆334Updated 7 months ago
• lm-sys / llm-decontaminator
  Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"
  ☆301Updated last year
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆256Updated 10 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆195Updated 2 months ago
• allenai / fm-cheatsheet
  Website for hosting the Open Foundation Models Cheat Sheet.
  ☆267Updated last week
• sabetAI / BLoRA
  batched loras
  ☆342Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆247Updated last year
• mlfoundations / open_lm
  A repository for research on medium sized language models.
  ☆495Updated last week
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆176Updated 8 months ago
• imoneoi / multipack_sampler
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆188Updated 9 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆133Updated last year
• r-three / git-theta
  git extension for {collaborative, communal, continual} model development
  ☆211Updated 6 months ago
• normster / llm_rules
  RuLES: a benchmark for evaluating rule-following in language models
  ☆223Updated 2 months ago
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆490Updated 11 months ago
• LLM360 / amber-train
  Pre-training code for Amber 7B LLM
  ☆166Updated last year
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆154Updated last month
• abacaj / train-with-fsdp
  ☆92Updated last year
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆168Updated last month
• sangmichaelxie / cs324_p2
  Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)
  ☆104Updated 2 years ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆80Updated 3 years ago
• srush / do-we-need-attention
  ☆166Updated last year
• dwzhu-pku / PoSE
  Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)
  ☆205Updated 11 months ago
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆220Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆710Updated 3 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆131Updated 9 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆232Updated 2 months ago
• Cohere-Labs-Community / parameter-efficient-moe
  ☆257Updated last year
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆262Updated 4 months ago
• allenai / catwalk
  This project studies the performance and robustness of language models and task-adaptation methods.
  ☆150Updated 11 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆244Updated this week