Alternatives and similar repositories for Faster-LLM-Survey

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

• Upaya07 / NeurIPS-llm-efficiency-challenge
  Code for NeurIPS LLM Efficiency Challenge
  ☆59Updated last year
• SeunghyunSEO / optimized_hf_llama_class_for_training
  ☆48Updated 11 months ago
• 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
  ☆48Updated 11 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
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆174Updated 4 months ago
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆41Updated last year
• bigcode-project / astraios
  Astraios: Parameter-Efficient Instruction Tuning Code Language Models
  ☆59Updated last year
• UbiquitousLearning / SLM_Survey
  ☆95Updated 10 months ago
• HanGuo97 / lq-lora
  ☆127Updated last year
• SalesforceAIResearch / GemFilter
  ☆83Updated 6 months ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated 10 months ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆160Updated 3 months ago
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆38Updated last year
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆56Updated last week
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆114Updated 8 months ago
• FasterDecoding / BitDelta
  ☆199Updated 8 months ago
• lfsszd / CS-Drafting
  Cascade Speculative Drafting
  ☆29Updated last year
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)
  ☆146Updated 10 months ago
• fangyuan-ksgk / Tiny-GRPO
  minimal GRPO implementation from scratch
  ☆94Updated 4 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆167Updated last year
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆53Updated 8 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆52Updated 6 months ago
• CodeCreator / WebOrganizer
  Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  ☆58Updated 3 months ago
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆23Updated last year
• Digitous / LLM-SLERP-Merge
  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
  ☆135Updated last year
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆42Updated last year
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆91Updated 8 months ago
• mistralai / mistral-evals
  ☆75Updated 3 months ago
• yueyu1030 / AttrPrompt
  [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
  ☆152Updated last year