Alternatives and similar repositories for Consistency_LLM

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

• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆360Updated 8 months ago
• mit-han-lab / duo-attention
  [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
  ☆494Updated 8 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆173Updated last year
• FasterDecoding / BitDelta
  ☆202Updated 10 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆248Updated 8 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…
  ☆342Updated 10 months ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆288Updated 10 months ago
• FasterDecoding / SnapKV
  ☆284Updated 3 months ago
• haoliuhl / ringattention
  Large Context Attention
  ☆743Updated last week
• QwenLM / ParScale
  Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
  ☆448Updated 5 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆216Updated last year
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆542Updated 5 months ago
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆352Updated 11 months ago
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆344Updated 5 months ago
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆155Updated 6 months ago
• yxli2123 / LoftQ
  ☆230Updated last year
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆231Updated last week
• FasterDecoding / REST
  REST: Retrieval-Based Speculative Decoding, NAACL 2024
  ☆210Updated last month
• hao-ai-lab / Dynasor
  [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.
  ☆197Updated 4 months ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆440Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆389Updated last year
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆439Updated last year
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆388Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 4 months ago
• thunlp / InfLLM
  The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…
  ☆382Updated last year
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆390Updated 4 months ago
• llm-random / llm-random
  ☆200Updated last month
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆747Updated last year
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆125Updated 2 years ago