Alternatives and similar repositories for Faster-LLM-Survey

Users that are interested in Faster-LLM-Survey are comparing it to the libraries listed below

• SeunghyunSEO / optimized_hf_llama_class_for_training
  ☆48Updated last year
• jeffreysijuntan / lloco
  The official repo for "LLoCo: Learning Long Contexts Offline"
  ☆118Updated last year
• alperiox / Compact-Language-Models-via-Pruning-and-Knowledge-Distillation
  Unofficial implementation of https://arxiv.org/pdf/2407.14679
  ☆53Updated last year
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆186Updated last month
• HanGuo97 / lq-lora
  ☆127Updated last year
• Upaya07 / NeurIPS-llm-efficiency-challenge
  Code for NeurIPS LLM Efficiency Challenge
  ☆59Updated last year
• bigcode-project / astraios
  Astraios: Parameter-Efficient Instruction Tuning Code Language Models
  ☆63Updated last year
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆44Updated last year
• UbiquitousLearning / SLM_Survey
  ☆102Updated last year
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆38Updated last year
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆56Updated 11 months ago
• mistralai / mistral-evals
  ☆82Updated last month
• SalesforceAIResearch / GemFilter
  ☆85Updated 2 months ago
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆58Updated 2 weeks ago
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)
  ☆147Updated last year
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆163Updated 8 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆121Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆71Updated last year
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆42Updated last year
• xlang-ai / batch-prompting
  [EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.
  ☆77Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• minyoungg / LTE
  ☆71Updated last year
• Arenaa / Accelerated-Generation-Techniques
  This repository contains papers for a comprehensive survey on accelerated generation techniques in Large Language Models (LLMs).
  ☆11Updated last year
• FasterDecoding / BitDelta
  ☆204Updated last year
• fangyuan-ksgk / Mini-LLaVA
  A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.
  ☆97Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆157Updated 2 years ago
• kyegomez / phi-1
  Plug in and play implementation of " Textbooks Are All You Need", ready for training, inference, and dataset generation
  ☆74Updated 2 years ago
• VITA-Group / WeLore
  [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications
  ☆52Updated 2 months ago