andrewkchan / yalm
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
☆357Updated 3 months ago
Alternatives and similar repositories for yalm
Users that are interested in yalm are comparing it to the libraries listed below
Sorting:
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆666Updated 2 months ago
- Perplexity GPU Kernels☆281Updated last week
- Fast low-bit matmul kernels in Triton☆299Updated this week
- ☆204Updated 2 weeks ago
- Cataloging released Triton kernels.☆220Updated 4 months ago
- CUDA/Metal accelerated language model inference☆571Updated last month
- Flash Attention in ~100 lines of CUDA (forward pass only)☆809Updated 4 months ago
- Fastest kernels written from scratch☆261Updated last month
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆171Updated last week
- CPU inference for the DeepSeek family of large language models in C++☆294Updated this week
- Applied AI experiments and examples for PyTorch☆265Updated 2 weeks ago
- A throughput-oriented high-performance serving framework for LLMs☆806Updated this week
- Materials for learning SGLang☆408Updated 2 weeks ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆366Updated 3 weeks ago
- A low-latency & high-throughput serving engine for LLMs☆354Updated 3 weeks ago
- Efficient LLM Inference over Long Sequences☆373Updated 2 weeks ago
- flash attention tutorial written in python, triton, cuda, cutlass☆348Updated 4 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆310Updated 2 weeks ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆818Updated 8 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆605Updated last week
- ring-attention experiments☆140Updated 6 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆87Updated 8 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆209Updated 5 months ago
- KV cache compression for high-throughput LLM inference☆126Updated 3 months ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆307Updated 5 months ago
- ☆209Updated 3 months ago
- ☆84Updated last month
- LLM KV cache compression made easy☆476Updated last week
- Distributed Triton for Parallel Systems☆677Updated last week
- ☆188Updated last week