Vahe1994 / SpQR
☆542Updated 3 months ago
Alternatives and similar repositories for SpQR:
Users that are interested in SpQR are comparing it to the libraries listed below
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆680Updated 7 months ago
- A simple and effective LLM pruning approach.☆723Updated 7 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆775Updated 7 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆362Updated last year
- Official PyTorch implementation of QA-LoRA☆129Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆416Updated 2 months ago
- GPTQ inference Triton kernel☆298Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆271Updated last year
- ☆528Updated 4 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,216Updated 2 weeks ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆789Updated 5 months ago
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆421Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆597Updated last year
- Official repository for LongChat and LongEval☆516Updated 9 months ago
- Fast Inference Solutions for BLOOM☆562Updated 5 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,063Updated 11 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆691Updated 11 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆770Updated this week
- Microsoft Automatic Mixed Precision Library☆581Updated 5 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆771Updated 6 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,369Updated 8 months ago
- A bagel, with everything.☆317Updated 11 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆979Updated 5 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆278Updated 2 weeks ago
- Reorder-based post-training quantization for large language model☆185Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆382Updated 8 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆336Updated 7 months ago
- LOMO: LOw-Memory Optimization☆979Updated 8 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,057Updated this week
- Serving multiple LoRA finetuned LLM as one☆1,040Updated 10 months ago