usyd-fsalab / fp6_llm
An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
☆247Updated 5 months ago
Alternatives and similar repositories for fp6_llm:
Users that are interested in fp6_llm are comparing it to the libraries listed below
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆303Updated 9 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆103Updated 9 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆111Updated this week
- ☆197Updated 9 months ago
- This repository contains integer operators on GPUs for PyTorch.☆200Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆262Updated 10 months ago
- ☆91Updated 7 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆204Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆80Updated 5 months ago
- Fast low-bit matmul kernels in Triton☆285Updated this week
- ☆185Updated 6 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆116Updated last year
- ☆78Updated 2 weeks ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆345Updated 2 weeks ago
- A Easy-to-understand TensorOp Matmul Tutorial☆340Updated 6 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆118Updated 3 months ago
- ☆103Updated 7 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆168Updated 10 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆269Updated 4 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆96Updated this week
- Applied AI experiments and examples for PyTorch☆256Updated 3 weeks ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆72Updated 7 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆193Updated last year
- Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆116Updated 2 weeks ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆579Updated last month
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆35Updated last month
- ☆157Updated last year
- A quantization algorithm for LLM☆138Updated 9 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆340Updated 8 months ago
- ☆139Updated 11 months ago