astramind-ai / BitMat

Related projects: ⓘ

• FasterDecoding / BitDelta
  ☆174Updated 4 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆158Updated 2 months ago
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆175Updated 4 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆258Updated 10 months ago
• rafacelente / bllama
  1.58-bit LLaMa model
  ☆77Updated 5 months ago
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆298Updated last month
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆143Updated 9 months ago
• cognitivecomputations / grokadamw
  ☆109Updated last month
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆339Updated 6 months ago
• thomasgauthier / LoRD
  Low-Rank adapter extraction for fine-tuned transformers model
  ☆154Updated 4 months ago
• OpenGVLab / EfficientQAT
  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆185Updated 3 weeks ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆356Updated 2 weeks ago
• Digitous / LLM-SLERP-Merge
  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
  ☆107Updated last year
• GreenBitAI / green-bit-llm
  A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.
  ☆68Updated 2 months ago
• Cornell-RelaxML / quip-sharp
  ☆478Updated 2 weeks ago
• sshh12 / multi_token
  Embed arbitrary modalities (images, audio, documents, etc) into large language models.
  ☆170Updated 5 months ago
• qwopqwop200 / gptqlora
  GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
  ☆96Updated last year
• uukuguy / multi_loras
  Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…
  ☆136Updated 7 months ago
• cognitivecomputations / laserRMT
  This is our own implementation of 'Layer Selective Rank Reduction'
  ☆230Updated 3 months ago
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆118Updated 7 months ago
• kroggen / mamba.c
  Inference of Mamba models in pure C
  ☆175Updated 6 months ago
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  ☆122Updated 6 months ago
• imoneoi / multipack_sampler
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆169Updated last month
• kyegomez / MambaByte
  Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta
  ☆103Updated last week
• llm-random / llm-random
  ☆168Updated this week
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆41Updated 6 months ago
• golololologol / LLM-Distillery
  A pipeline for LLM knowledge distillation
  ☆68Updated last month
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆111Updated 6 months ago
• vllm-project / llm-compressor
  Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
  ☆407Updated this week
• cognitivecomputations / spectrum
  ☆75Updated 3 weeks ago