usyd-fsalab / fp6_llm
An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
☆208Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for fp6_llm
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆278Updated 4 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆90Updated 4 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆180Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆87Updated last month
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆202Updated 2 weeks ago
- This repository contains integer operators on GPUs for PyTorch.☆183Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆238Updated last week
- Applied AI experiments and examples for PyTorch☆166Updated 3 weeks ago
- ☆167Updated 4 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆219Updated 5 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆112Updated 8 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆187Updated this week
- ☆88Updated 2 months ago
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆443Updated last week
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆241Updated last month
- Simple and fast low-bit matmul kernels in CUDA / Triton☆143Updated this week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆284Updated 3 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆147Updated 4 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆51Updated 2 months ago
- ☆79Updated 2 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆420Updated this week
- ☆156Updated last year
- ☆289Updated 7 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆111Updated 5 months ago
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆195Updated 3 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆167Updated 11 months ago
- Materials for learning SGLang☆96Updated this week
- A fast communication-overlapping library for tensor parallelism on GPUs.☆224Updated 3 weeks ago
- ☆188Updated 6 months ago