Alternatives and similar repositories for Q-GaLore

Users that are interested in Q-GaLore are comparing it to the libraries listed below

• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆244Updated 6 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated 9 months ago
• FasterDecoding / BitDelta
  ☆199Updated 8 months ago
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆243Updated last year
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆184Updated 6 months ago
• QuixiAI / grokadamw
  ☆134Updated 11 months ago
• QuixiAI / spectrum
  ☆128Updated 3 months ago
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆323Updated 3 months ago
• DeepAuto-AI / hip-attention
  Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.
  ☆141Updated this week
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆160Updated 3 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• arcee-ai / EvolKit
  EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…
  ☆230Updated 9 months ago
• Digitous / LLM-SLERP-Merge
  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
  ☆135Updated last year
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆344Updated 7 months ago
• tiiuae / onebitllms
  Lightweight toolkit package to train and fine-tune 1.58bit Language models
  ☆82Updated 2 months ago
• QuixiAI / laserRMT
  This is our own implementation of 'Layer Selective Rank Reduction'
  ☆239Updated last year
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆173Updated 6 months ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆153Updated last year
• uukuguy / multi_loras
  Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…
  ☆156Updated last year
• BlinkDL / modded-nanogpt-rwkv
  RWKV-7: Surpassing GPT
  ☆94Updated 8 months ago
• Pints-AI / 1.5-Pints
  A compact LLM pretrained in 9 days by using high quality data
  ☆320Updated 3 months ago
• thepowerfuldeez / OLMo
  My fork os allen AI's OLMo for educational purposes.
  ☆30Updated 8 months ago
• thomasgauthier / LoRD
  Low-Rank adapter extraction for fine-tuned transformers models
  ☆175Updated last year
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆103Updated 3 months ago
• writer / writing-in-the-margins
  ☆118Updated 11 months ago
• HanGuo97 / lq-lora
  ☆127Updated last year
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆127Updated 8 months ago
• qwopqwop200 / gptqlora
  GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
  ☆103Updated 2 years ago
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆347Updated 8 months ago
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆268Updated last year