pratyushasharma / laser

Related projects ⓘ

Alternatives and complementary repositories for laser

• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆558Updated 8 months ago
• yxli2123 / LoftQ
  ☆199Updated 5 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆117Updated 8 months ago
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆613Updated 5 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆647Updated last month
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆372Updated last month
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆307Updated 7 months ago
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆669Updated 3 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆594Updated 3 months ago
• FasterDecoding / BitDelta
  ☆184Updated last month
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆262Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆438Updated 8 months ago
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆415Updated 11 months ago
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆196Updated 6 months ago
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆774Updated 6 months ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆358Updated last month
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆649Updated 3 months ago
• for-ai / parameter-efficient-moe
  ☆247Updated last year
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆283Updated last week
• catid / dora
  Implementation of DoRA
  ☆283Updated 5 months ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆435Updated 6 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆134Updated 5 months ago
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆384Updated 6 months ago
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  ☆129Updated 2 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆350Updated 8 months ago
• Leeroo-AI / mergoo
  A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
  ☆408Updated 2 months ago
• TencentARC / LLaMA-Pro
  [ACL 2024] Progressive LLaMA with Block Expansion.
  ☆478Updated 6 months ago
• fanqiwan / FuseAI
  FuseAI Project
  ☆452Updated 3 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆528Updated 8 months ago
• Re-Align / URIAL
  ☆295Updated 5 months ago