Alternatives and similar repositories for LaMDA

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

• AkideLiu / MiniCache
  ☆9Updated 8 months ago
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆21Updated last year
• UtkarshSaxena1 / EigenAttn
  ☆15Updated 7 months ago
• Jikai0Wang / OPT-Tree
  ☆23Updated last week
• SempraETY / Pruning-via-Merging
  ☆18Updated 6 months ago
• hemingkx / SWIFT
  [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
  ☆49Updated 3 months ago
• dongwonjo / FastKV
  Official Implementation of FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation
  ☆19Updated 2 weeks ago
• yifanycc / loretta
  [NAACL 24 Oral] LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
  ☆34Updated 4 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆39Updated last year
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆13Updated 10 months ago
• mutonix / pyramidinfer
  ☆42Updated 6 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆65Updated last year
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆23Updated 2 weeks ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆39Updated 11 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆61Updated 2 months ago
• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆47Updated last year
• yxli2123 / LoSparse
  ☆56Updated last year
• OpenSparseLLMs / Linearization
  ☆47Updated 2 months ago
• alessiodevoto / l2compress
  Code for the EMNLP24 paper "A simple and effective L2 norm based method for KV Cache compression."
  ☆13Updated 5 months ago
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆89Updated last year
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆68Updated 7 months ago
• abdelfattah-lab / TokenButler
  ☆23Updated 2 months ago
• wzhuang-xmu / LoSA
  [ICLR 2025] The official pytorch implement of "Dynamic Low-Rank Sparse Adaptation for Large Language Models".
  ☆19Updated 2 months ago
• pprp / Pruner-Zero
  Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆82Updated 6 months ago
• CASE-Lab-UMD / Unified-MoE-Compression
  The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
  ☆70Updated 2 months ago
• VITA-Group / llm-kick
  [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.
  ☆24Updated last month
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆31Updated 9 months ago
• ruipeterpan / specreason
  PoC for "SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning" [arXiv '25]
  ☆37Updated 3 weeks ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆46Updated 6 months ago
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆84Updated last year