dame-cell / TriformerLinks
Transformers components but in Triton
☆34Updated 2 months ago
Alternatives and similar repositories for Triformer
Users that are interested in Triformer are comparing it to the libraries listed below
Sorting:
- Quantized Attention on GPU☆44Updated 7 months ago
- ☆49Updated last month
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆42Updated last week
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated last week
- ☆116Updated last month
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 10 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆47Updated 11 months ago
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆89Updated 3 weeks ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆121Updated 7 months ago
- Awesome Triton Resources☆31Updated 2 months ago
- ☆74Updated last month
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆138Updated last month
- ☆22Updated last year
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆118Updated last month
- Fast and memory-efficient exact attention☆68Updated 4 months ago
- Vocabulary Parallelism☆19Updated 4 months ago
- A bunch of kernels that might make stuff slower 😉☆54Updated last week
- DeeperGEMM: crazy optimized version☆69Updated 2 months ago
- ☆136Updated 5 months ago
- ☆60Updated 2 months ago
- Best practices for testing advanced Mixtral, DeepSeek, and Qwen series MoE models using Megatron Core MoE.☆29Updated last month
- ☆77Updated 5 months ago
- ☆106Updated 10 months ago
- 16-fold memory access reduction with nearly no loss☆100Updated 3 months ago
- Benchmark tests supporting the TiledCUDA library.☆16Updated 7 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- 方便扩展的Cuda算子理解和优化框架,仅用在学习使用☆15Updated last year
- ☆83Updated 8 months ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆17Updated 4 months ago