dropbox / hqqLinks
Official implementation of Half-Quadratic Quantization (HQQ)
☆902Updated last week
Alternatives and similar repositories for hqq
Users that are interested in hqq are comparing it to the libraries listed below
Sorting:
- ☆574Updated last year
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆670Updated 8 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆962Updated last year
- Advanced quantization toolkit for LLMs and VLMs. Support for WOQ, MXFP4, NVFP4, GGUF, Adaptive Schemes and seamless integration with Tra…☆775Updated this week
- A pytorch quantization backend for optimum☆1,019Updated last month
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆710Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆884Updated last month
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆392Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆453Updated 11 months ago
- Serving multiple LoRA finetuned LLM as one☆1,128Updated last year
- An innovative library for efficient LLM inference via low-bit quantization☆351Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated 3 weeks ago
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆325Updated 3 months ago
- ☆583Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,310Updated 9 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆800Updated 9 months ago
- A throughput-oriented high-performance serving framework for LLMs☆926Updated last month
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,169Updated 2 months ago
- LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU vi…☆943Updated this week
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆258Updated last year
- Easy and Efficient Quantization for Transformers☆202Updated 6 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆361Updated last month
- ☆551Updated last year
- scalable and robust tree-based speculative decoding algorithm☆366Updated 10 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆854Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆395Updated last year
- Comparison of Language Model Inference Engines☆238Updated last year
- Official PyTorch implementation of QA-LoRA☆145Updated last year
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,447Updated last week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,300Updated 7 months ago