fw-ai / llama-cuda-graph-exampleLinks
Example of applying CUDA graphs to LLaMA-v2
☆12Updated 2 years ago
Alternatives and similar repositories for llama-cuda-graph-example
Users that are interested in llama-cuda-graph-example are comparing it to the libraries listed below
Sorting:
- Triton-based Symmetric Memory operators and examples☆28Updated this week
- ☆74Updated 5 months ago
- How to ensure correctness and ship LLM generated kernels in PyTorch☆58Updated this week
- Hydragen: High-Throughput LLM Inference with Shared Prefixes☆41Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆82Updated last year
- extensible collectives library in triton☆87Updated 5 months ago
- ring-attention experiments☆152Updated 11 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆82Updated this week
- ☆111Updated last year
- A bunch of kernels that might make stuff slower 😉☆59Updated this week
- ☆50Updated 4 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆127Updated 9 months ago
- DeeperGEMM: crazy optimized version☆70Updated 4 months ago
- ☆27Updated last year
- ☆94Updated 3 weeks ago
- ☆64Updated 4 months ago
- An experimental communicating attention kernel based on DeepEP.☆34Updated last month
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆43Updated 2 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆161Updated this week
- ☆90Updated 10 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆92Updated 2 weeks ago
- Make SGLang go brrr☆30Updated last week
- Triton-based implementation of Sparse Mixture of Experts.☆240Updated 3 weeks ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆168Updated last year
- Collection of kernels written in Triton language☆154Updated 5 months ago
- ☆126Updated 3 months ago
- ☆142Updated 7 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆119Updated 3 months ago
- The evaluation framework for training-free sparse attention in LLMs☆96Updated 3 months ago