Alternatives and similar repositories for PruneMe:

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

• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆196Updated 8 months ago
• Digitous / LLM-SLERP-Merge
  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
  ☆117Updated last year
• cognitivecomputations / laserRMT
  This is our own implementation of 'Layer Selective Rank Reduction'
  ☆233Updated 9 months ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆416Updated 2 months ago
• arcee-ai / EvolKit
  EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…
  ☆207Updated 4 months ago
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆329Updated 4 months ago
• uukuguy / multi_loras
  Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…
  ☆150Updated last year
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆253Updated 8 months ago
• thomasgauthier / LoRD
  Low-Rank adapter extraction for fine-tuned transformers models
  ☆171Updated 10 months ago
• imoneoi / multipack_sampler
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆186Updated 7 months ago
• cognitivecomputations / spectrum
  ☆113Updated 6 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated 5 months ago
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  ☆140Updated 6 months ago
• OpenGVLab / EfficientQAT
  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆259Updated 5 months ago
• jondurbin / bagel
  A bagel, with everything.
  ☆317Updated 11 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆129Updated last year
• yxli2123 / LoftQ
  ☆220Updated 9 months ago
• golololologol / LLM-Distillery
  A pipeline for LLM knowledge distillation
  ☆98Updated last month
• qwopqwop200 / gptqlora
  GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
  ☆99Updated last year
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆154Updated 9 months ago
• Leeroo-AI / mergoo
  A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
  ☆454Updated 6 months ago
• FasterDecoding / BitDelta
  ☆194Updated 3 months ago
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆277Updated 3 weeks ago
• arcee-ai / DistillKit
  An Open Source Toolkit For LLM Distillation
  ☆544Updated 2 months ago
• dwzhu-pku / PoSE
  Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)
  ☆206Updated 10 months ago
• keeeeenw / MicroLlama
  Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget
  ☆144Updated 11 months ago
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆382Updated 8 months ago
• catid / dora
  Implementation of DoRA
  ☆290Updated 9 months ago
• Cornell-RelaxML / quip-sharp
  ☆528Updated 4 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆307Updated 3 months ago