Cornell-RelaxML / QuIPLinks
Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
☆380Updated last year
Alternatives and similar repositories for QuIP
Users that are interested in QuIP are comparing it to the libraries listed below
Sorting:
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆704Updated last year
- ☆554Updated 10 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Official PyTorch implementation of QA-LoRA☆140Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆443Updated 7 months ago
- GPTQ inference Triton kernel☆307Updated 2 years ago
- ☆547Updated 8 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆377Updated last year
- scalable and robust tree-based speculative decoding algorithm☆355Updated 7 months ago
- PB-LLM: Partially Binarized Large Language Models☆153Updated last year
- ☆228Updated last year
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- ☆154Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆422Updated 9 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated 10 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆224Updated 8 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆845Updated 3 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆214Updated last year
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆182Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆832Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 11 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆230Updated 9 months ago
- ☆202Updated 9 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆312Updated 6 months ago
- Large Context Attention☆736Updated 7 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆319Updated 7 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆249Updated last year