tinygrad / open-gpu-kernel-modulesLinks
NVIDIA Linux open GPU with P2P support
☆1,287Updated 6 months ago
Alternatives and similar repositories for open-gpu-kernel-modules
Users that are interested in open-gpu-kernel-modules are comparing it to the libraries listed below
Sorting:
- ☆1,067Updated 6 months ago
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,973Updated last week
- Tile primitives for speedy kernels☆2,980Updated this week
- ☆449Updated 8 months ago
- Distributed Training Over-The-Internet☆966Updated last month
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,009Updated 11 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆894Updated last month
- ☆570Updated last year
- FlashAttention (Metal Port)☆560Updated last year
- llama.cpp fork with additional SOTA quants and improved performance☆1,358Updated this week
- Serving multiple LoRA finetuned LLM as one☆1,122Updated last year
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆668Updated 7 months ago
- OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training☆550Updated 10 months ago
- Juice Community Version Public Release☆618Updated 6 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆958Updated last year
- Large-scale LLM inference engine☆1,600Updated last week
- AI Tensor Engine for ROCm☆309Updated this week
- Puzzles for learning Triton☆2,143Updated last year
- TinyChatEngine: On-Device LLM Inference Library☆929Updated last year
- Low-bit LLM inference on CPU/NPU with lookup table☆898Updated 6 months ago
- Fast and memory-efficient exact attention☆201Updated last month
- CUDA/Metal accelerated language model inference☆625Updated 6 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆584Updated 3 months ago
- A fast inference library for running LLMs locally on modern consumer-class GPUs☆4,378Updated 3 months ago
- Advanced quantization toolkit for LLMs and VLMs. Native support for WOQ, MXFP4, NVFP4, GGUF, Adaptive Bits and seamless integration with …☆735Updated this week
- kernels, of the mega variety☆618Updated 2 months ago
- prime is a framework for efficient, globally distributed training of AI models over the internet.☆850Updated 2 weeks ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆720Updated 4 months ago
- Open weights language model from Google DeepMind, based on Griffin.☆654Updated 6 months ago
- DFloat11: Lossless LLM Compression for Efficient GPU Inference☆569Updated last week