chu-tianxiang / QuIP-for-all
QuIP quantization
☆52Updated last year
Alternatives and similar repositories for QuIP-for-all:
Users that are interested in QuIP-for-all are comparing it to the libraries listed below
- A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.☆79Updated 2 weeks ago
- ☆112Updated 2 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆40Updated last year
- Work in progress.☆50Updated last week
- PB-LLM: Partially Binarized Large Language Models☆152Updated last year
- ☆49Updated 4 months ago
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆99Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆25Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆71Updated 6 months ago
- ☆125Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆110Updated 3 months ago
- A repository for research on medium sized language models.☆76Updated 10 months ago
- RWKV-7: Surpassing GPT☆82Updated 4 months ago
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆41Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆36Updated last year
- ☆118Updated last month
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.☆35Updated 10 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆97Updated 5 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆59Updated 5 months ago
- Cascade Speculative Drafting☆29Updated 11 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆148Updated 2 months ago
- This repo is based on https://github.com/jiaweizzhao/GaLore☆26Updated 6 months ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆31Updated 7 months ago
- Low-bit optimizers for PyTorch☆125Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆58Updated 2 months ago
- ☆46Updated 8 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆59Updated 5 months ago
- ☆194Updated 3 months ago
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆111Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆125Updated 3 months ago