Alternatives and similar repositories for qmoe

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

• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆385Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆156Updated last year
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated last year
• FasterDecoding / BitDelta
  ☆202Updated 11 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆143Updated last year
• Cornell-RelaxML / quip-sharp
  ☆564Updated last year
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆126Updated 2 years ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆202Updated last year
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆361Updated 9 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆249Updated 9 months ago
• GreenBitAI / low_bit_llama
  Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs
  ☆110Updated last year
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆705Updated last year
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆313Updated 2 years ago
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆266Updated last year
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆447Updated 9 months ago
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆127Updated last year
• llm-random / llm-random
  ☆204Updated 3 weeks ago
• qwopqwop200 / gptqlora
  GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
  ☆102Updated 2 years ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 11 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆390Updated last year
• Vahe1994 / SpQR
  ☆547Updated 10 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 5 months ago
• imoneoi / multipack
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆201Updated last year
• IST-DASLab / QUIK
  Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024
  ☆183Updated last year
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆389Updated last year
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆59Updated last year
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆224Updated last month
• yxli2123 / LoftQ
  ☆234Updated last year
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆253Updated last year
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆223Updated last year