Cornell-RelaxML / quip-sharpLinks
☆547Updated 8 months ago
Alternatives and similar repositories for quip-sharp
Users that are interested in quip-sharp are comparing it to the libraries listed below
Sorting:
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆373Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆695Updated 11 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆842Updated last week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆827Updated last month
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆855Updated 10 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆433Updated 5 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- scalable and robust tree-based speculative decoding algorithm☆349Updated 5 months ago
- ☆543Updated 6 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆812Updated 10 months ago
- GPTQ inference Triton kernel☆302Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆404Updated 7 months ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆647Updated 2 months ago
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆360Updated 11 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆717Updated 4 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆276Updated last month
- A high-throughput and memory-efficient inference and serving engine for LLMs☆264Updated 9 months ago
- ☆546Updated 10 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,259Updated 4 months ago
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU. Seamlessly integrated with Torchao, Tra…☆526Updated this week
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆222Updated 6 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆240Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- A simple and effective LLM pruning approach.☆771Updated 11 months ago
- Large Context Attention☆718Updated 5 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆298Updated 5 months ago
- An innovative library for efficient LLM inference via low-bit quantization☆349Updated 10 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 8 months ago
- Serving multiple LoRA finetuned LLM as one☆1,073Updated last year