SqueezeAILab / SqueezeLLM
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
☆678Updated 6 months ago
Alternatives and similar repositories for SqueezeLLM:
Users that are interested in SqueezeLLM are comparing it to the libraries listed below
- ☆540Updated 2 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆362Updated last year
- Official PyTorch implementation of QA-LoRA☆127Updated 11 months ago
- ☆528Updated 4 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆773Updated 4 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆740Updated 5 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆409Updated last month
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆335Updated 6 months ago
- GPTQ inference Triton kernel☆297Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆770Updated 6 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆268Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆587Updated 11 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆760Updated last week
- ☆217Updated 8 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,198Updated 4 months ago
- A simple and effective LLM pruning approach.☆713Updated 6 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆689Updated 10 months ago
- Large Context Attention☆685Updated last month
- A high-throughput and memory-efficient inference and serving engine for LLMs☆259Updated 4 months ago
- Serving multiple LoRA finetuned LLM as one☆1,033Updated 9 months ago
- Reorder-based post-training quantization for large language model☆185Updated last year
- batched loras☆338Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆273Updated 6 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆380Updated 7 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆559Updated last week
- The official implementation of the EMNLP 2023 paper LLM-FP4☆185Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆349Updated 3 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆445Updated 10 months ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆990Updated last week
- ☆505Updated 6 months ago